{"generated_at":"2026-10-10T06:56:51Z","total":1017,"page":0,"pages":11,"page_size":100,"next":"/api/catalog?topic=natural-language-processing&page=1","documents":[{"id":"pmc-13628000","title":"Artificial Intelligence for Clinical Decision Support in Internal Medicine: A Systematic Review","year":2026,"authors":["Muhammad Usman Taj","Ahmed Abdelsalam Mohamed Osman","Fatmaalzahra Ahmed Lotfey Habib"],"author_count":7,"journal":"Cureus","doi":"10.7759/cureus.115568","source":"pmc","topics":["artificial-intelligence","natural-language-processing"],"keywords":["artificial intelligence","clinical decision support systems","electrocardiography","internal medicine","machine learning","sepsis","systematic review"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13628000","fulltext_endpoint":"/api/document/pmc-13628000/fulltext","references_endpoint":"/api/document/pmc-13628000/references"},{"id":"pmc-13645317","title":"Large Language Model–Based Identification of Subjective Cognitive Decline in Electronic Health Records Among Older Adults With Normal Cognitive Testing: Retrospective Cohort Study","year":2026,"authors":["Liqin Wang","Rebecca E Amariglio","Sheril Varghese"],"author_count":7,"journal":"JMIR Aging","doi":"10.2196/93011","source":"pmc","topics":["natural-language-processing"],"keywords":["large language model","cognitive concern","subjective cognitive decline","electronic health records","documentation"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13645317","fulltext_endpoint":"/api/document/pmc-13645317/fulltext","references_endpoint":"/api/document/pmc-13645317/references"},{"id":"pmc-13645315","title":"Extraction of Pain Severity and Functional Interference From Clinical Narratives Using Domain-Informed Large Language Models: Protocol for a Development and Validation Study","year":2026,"authors":["Xiaoyi Zhang","Christopher R Wilson","Hannah Eyre"],"author_count":9,"journal":"JMIR Research Protocols","doi":"10.2196/96346","source":"pmc","topics":["natural-language-processing"],"keywords":["chronic pain","natural language processing","electronic health records","large language models","patient-reported outcomes","knowledge distillation","Veterans","pain assessment"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13645315","fulltext_endpoint":"/api/document/pmc-13645315/fulltext","references_endpoint":"/api/document/pmc-13645315/references"},{"id":"pmc-13643336","title":"GeneReL: a large language model-powered platform for gene regulatory relationship extraction with community curation","year":2026,"authors":["Joo-Seok Park","Suyeon Ha","Yejin Lee"],"author_count":4,"journal":"Database: The Journal of Biological Databases and Curation","doi":"10.1093/database/baag062","source":"pmc","topics":["natural-language-processing"],"keywords":[],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13643336","fulltext_endpoint":"/api/document/pmc-13643336/fulltext","references_endpoint":"/api/document/pmc-13643336/references"},{"id":"pmc-13643258","title":"Demographics, Clinical Content, Use Patterns, and Care-Seeking Intent Across Two Generations of AI-Enabled Clinical Triage Tools (A Traditional Structured Questionnaire and a Large Language Model–Enabled Conversational Interface): Comparative Retrospective Observational Study","year":2026,"authors":["Maria Marecka","Anna Nowicka","Aleksandra Suwińska"],"author_count":4,"journal":"JMIR AI","doi":"10.2196/84469","source":"pmc","topics":["natural-language-processing"],"keywords":["digital front door","virtual triage","clinical decision support systems","artificial intelligence","AI","natural language processing","large language models","patient engagement"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13643258","fulltext_endpoint":"/api/document/pmc-13643258/fulltext","references_endpoint":"/api/document/pmc-13643258/references"},{"id":"pmc-13643263","title":"Large Language Model Performance on Multistep Clinical Cases: Comparative Study Across Question and Case Levels","year":2026,"authors":["Jiaxue Cha","Yan Zhao","Hui Zong"],"author_count":3,"journal":"JMIR Medical Education","doi":"10.2196/95342","source":"pmc","topics":["natural-language-processing"],"keywords":["large language models","clinical cases","medical education","ChatGPT","DeepSeek"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13643263","fulltext_endpoint":"/api/document/pmc-13643263/fulltext","references_endpoint":"/api/document/pmc-13643263/references"},{"id":"pmc-13642594","title":"Large language model attributes and perceived moral agency of artificial moral advisors","year":2026,"authors":["Tze Wei Liew","Su-Mae Tan","Yi Yong Lee"],"author_count":5,"journal":"Frontiers in Artificial Intelligence","doi":"10.3389/frai.2026.1901532","source":"pmc","topics":["natural-language-processing"],"keywords":["artificial moral advisors","Godspeed indices","large language models","perceived agency","perceived morality"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13642594","fulltext_endpoint":"/api/document/pmc-13642594/fulltext","references_endpoint":"/api/document/pmc-13642594/references"},{"id":"pmc-13642838","title":"Cross-sectional stratification of fall-related vulnerability in Parkinson’s disease through multimodal fusion of speech, gait, facial expression, and upper-limb movement","year":2026,"authors":["Vasileios Skaramagkas","Iro Boura","Georgios Karamanis"],"author_count":10,"journal":"Frontiers in Digital Health","doi":"10.3389/fdgth.2026.1937343","source":"pmc","topics":["natural-language-processing"],"keywords":["digital biomarkers","fall-related vulnerability stratification","model pruning","multimodal deep learning","Parkinson’s disease"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13642838","fulltext_endpoint":"/api/document/pmc-13642838/fulltext","references_endpoint":"/api/document/pmc-13642838/references"},{"id":"pmc-13644707","title":"Large language models show distinct multidimensional performance profiles and variable reproducibility in consensus‐based bone stress injury","year":2026,"authors":["Silvia Gandini","Jakob Lindskog","Yinan Yu"],"author_count":13,"journal":"Journal of Experimental Orthopaedics","doi":"10.1002/jeo2.70939","source":"pmc","topics":["natural-language-processing"],"keywords":["artificial intelligence","bone stress injuries","Delphi consensus","large language models","sports medicine"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13644707","fulltext_endpoint":"/api/document/pmc-13644707/fulltext","references_endpoint":"/api/document/pmc-13644707/references"},{"id":"pmc-13640901","title":"From Computational Prediction to In Vivo Experimental Validation: A Translational AI Pipeline for Anthracycline-Induced Cardiotoxicity","year":2026,"authors":["Manqi Li","Jing Wei","Shuteng Niu"],"author_count":8,"journal":"Research Square","doi":"10.21203/rs.3.rs-10594011/v1","source":"pmc","topics":["natural-language-processing"],"keywords":[],"license":"CC-BY-4.0","has_fulltext":false,"has_references":false,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13640901","fulltext_endpoint":null,"references_endpoint":null},{"id":"pmc-13640760","title":"Real-World Performance of the 2026 AHA/ACC Pulmonary Embolism Framework in a Multi-System CTPA Cohort","year":2026,"authors":["Mahmoud Alwakeel","Suraj Zaveri","Emory Buck"],"author_count":14,"journal":"medRxiv","doi":"10.64898/2026.08.06.26359865","source":"pmc","topics":["natural-language-processing"],"keywords":[],"license":"CC-BY-4.0","has_fulltext":true,"has_references":false,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13640760","fulltext_endpoint":"/api/document/pmc-13640760/fulltext","references_endpoint":null},{"id":"pmc-13640656","title":"ACCREDIT: A Quality-Aware Agentic Engine for Cell-resolved Cross-modal Image Registration with Dynamic Iterative Tuning","year":2026,"authors":["Le Zhou","Faming Zhao","Tao Ren"],"author_count":12,"journal":"bioRxiv","doi":"10.64898/2026.08.08.743602","source":"pmc","topics":["natural-language-processing"],"keywords":[],"license":"CC-BY-4.0","has_fulltext":false,"has_references":false,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13640656","fulltext_endpoint":null,"references_endpoint":null},{"id":"pmc-13639787","title":"A structured and comprehensive review of Sino-Tibetan languages PoS taggers","year":2026,"authors":["Bedawati Basumatary","Shikhar Kumar Sarma","Kuwali Talukdar"],"author_count":6,"journal":"Frontiers in Artificial Intelligence","doi":"10.3389/frai.2026.1869572","source":"pmc","topics":["natural-language-processing"],"keywords":["deep learning","hybrid model","low resource language","machine learning","PoS","Sino-Tibetan language"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13639787","fulltext_endpoint":"/api/document/pmc-13639787/fulltext","references_endpoint":"/api/document/pmc-13639787/references"},{"id":"pmc-13641311","title":"Development and Preliminary Evaluation of a Conversational Agent Delivering Problem-Solving Therapy for Family Caregivers of Children With a Chronic Health Condition: Multiphase Mixed Methods Study","year":2026,"authors":["Weichao Yuwen","Liying Wang","Serena Jinchen Xie"],"author_count":7,"journal":"Journal of Medical Internet Research","doi":"10.2196/94175","source":"pmc","topics":["natural-language-processing"],"keywords":["health-wellbeing","family caregiver","usability study","mental health","conversational agent"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13641311","fulltext_endpoint":"/api/document/pmc-13641311/fulltext","references_endpoint":"/api/document/pmc-13641311/references"},{"id":"pmc-13641718","title":"Entity-centric evaluation of large language model responses for medical question-answering tasks","year":2026,"authors":["Yi Liu","Vijaya B. Kolachalama"],"author_count":2,"journal":"PLOS Digital Health","doi":"10.1371/journal.pdig.0001752","source":"pmc","topics":["natural-language-processing"],"keywords":[],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13641718","fulltext_endpoint":"/api/document/pmc-13641718/fulltext","references_endpoint":"/api/document/pmc-13641718/references"},{"id":"pmc-13639533","title":"Natural Language Processing Analysis of WhatsApp Messages to Identify Unrecognized HIV Prevention Needs Among Young Women in Kenya","year":2026,"authors":["Jessica E. Haberer","Bernard Rono","Rakesh Ravi"],"author_count":11,"journal":"Journal of the International AIDS Society","doi":"10.1002/jia2.70214","source":"pmc","topics":["natural-language-processing"],"keywords":["HIV prevention","natural language processing","sub‐Saharan Africa","young women"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13639533","fulltext_endpoint":"/api/document/pmc-13639533/fulltext","references_endpoint":"/api/document/pmc-13639533/references"},{"id":"pmc-13639135","title":"AI-Based Measurement Tools for Intrinsic Capacity in Older Adults: Scoping Review","year":2026,"authors":["Chengji Yu","Ping Lu","Ying Zhou"],"author_count":7,"journal":"Journal of Medical Internet Research","doi":"10.2196/90411","source":"pmc","topics":["natural-language-processing"],"keywords":["intrinsic capacity","IC","artificial intelligence","AI","digital biomarker","older adults","measurement"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13639135","fulltext_endpoint":"/api/document/pmc-13639135/fulltext","references_endpoint":"/api/document/pmc-13639135/references"},{"id":"pmc-13640333","title":"A cross-sectional evaluation of Large Language Model answers to dental questions","year":2026,"authors":["Martyna Mysior","Marek Piotr Mysior","Pamela Maslowski"],"author_count":4,"journal":"BMC Oral Health","doi":"10.1186/s12903-026-09223-4","source":"pmc","topics":["natural-language-processing"],"keywords":["Large language models","Artificial intelligence","Patient safety","Dentistry"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13640333","fulltext_endpoint":"/api/document/pmc-13640333/fulltext","references_endpoint":"/api/document/pmc-13640333/references"},{"id":"pmc-13635665","title":"Evaluating a large language model (ChatGPT-5) for detecting potential drug–drug interactions in intensive care: a cross-sectional comparative study with a clinical decision support system","year":2026,"authors":["İlkay Ceylan","Serpil Ekin","Buket Özyaprak"],"author_count":4,"journal":"Frontiers in Pharmacology","doi":"10.3389/fphar.2026.1911849","source":"pmc","topics":["natural-language-processing"],"keywords":["artificial intelligence","clinical decision support systems","drug interactions","intensive care unit","pharmacovigilance"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13635665","fulltext_endpoint":"/api/document/pmc-13635665/fulltext","references_endpoint":"/api/document/pmc-13635665/references"},{"id":"pmc-13635307","title":"Large language model evaluation and feedback of transcribed simulated physician-patient verbal interactions","year":2026,"authors":["Eric J. Nolan","Harry B. Burke"],"author_count":2,"journal":"Frontiers in Artificial Intelligence","doi":"10.3389/frai.2026.1936749","source":"pmc","topics":["natural-language-processing"],"keywords":["clinical communication","generative artificial intelligence","large language models (LLMs)","narrative feedback","physician patient interaction"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13635307","fulltext_endpoint":"/api/document/pmc-13635307/fulltext","references_endpoint":"/api/document/pmc-13635307/references"},{"id":"pmc-13638073","title":"A Patient Simulation Framework for Risk Assessment of Conversational Health Care AI: Development and Evaluation Study","year":2026,"authors":["Md Tanvir Rouf Shawon","Mohammad Sabik Irbaz","Hadeel R A Elyazori"],"author_count":9,"journal":"JMIR AI","doi":"10.2196/100772","source":"pmc","topics":["natural-language-processing"],"keywords":["natural language generation","consumer health","health informatics","patient simulation","conversational agents","AI risk management","trustworthy AI","large language models"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13638073","fulltext_endpoint":"/api/document/pmc-13638073/fulltext","references_endpoint":"/api/document/pmc-13638073/references"},{"id":"pmc-13637983","title":"Liability and Standard of Care in AI-Driven Psychiatric Practice: European Viewpoint","year":2026,"authors":["Luis Madeira","Cíntia Águas","Meryam Schouler-Ocak"],"author_count":6,"journal":"Journal of Medical Internet Research","doi":"10.2196/99894","source":"pmc","topics":["natural-language-processing"],"keywords":["artificial intelligence","psychiatry","liability","legal","medical ethics","mental health","clinical decision support systems","digital health"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13637983","fulltext_endpoint":"/api/document/pmc-13637983/fulltext","references_endpoint":"/api/document/pmc-13637983/references"},{"id":"pmc-13637884","title":"Temporal proximity to counseling is associated with longitudinal bedaquiline and antiretroviral therapy adherence in multidrug-resistant tuberculosis and HIV treatment","year":2026,"authors":["Xuan Lu","Jennifer Zelnick","Meng Zhao"],"author_count":15,"journal":"PLOS One","doi":"10.1371/journal.pone.0355696","source":"pmc","topics":["natural-language-processing"],"keywords":[],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13637884","fulltext_endpoint":"/api/document/pmc-13637884/fulltext","references_endpoint":"/api/document/pmc-13637884/references"},{"id":"pmc-13635843","title":"Electronic Health Record–Based Phenotyping for Obsessive-Compulsive Disorder: Algorithm Development and Multicenter Validation Study","year":2026,"authors":["Bo Wang","Tyne W Miller-Fleming","Dongmei Yu"],"author_count":24,"journal":"JMIR Mental Health","doi":"10.2196/89213","source":"pmc","topics":["natural-language-processing"],"keywords":["obsessive-compulsive disorder","electronic health records","natural language processing","EHR phenotyping","psychiatric genetics","polygenic scores"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13635843","fulltext_endpoint":"/api/document/pmc-13635843/fulltext","references_endpoint":"/api/document/pmc-13635843/references"},{"id":"pmc-13635029","title":"Development and Nationwide Multicentre Evaluation of Guideline-Grounded Large Language Model Chatbots to Support Patient Self-Management and Education in Rheumatology","year":2026,"authors":["Tim Wilhelmi","Vanessa Bartsch","Marius Platt"],"author_count":22,"journal":"Journal of Medical Systems","doi":"10.1007/s10916-026-02470-6","source":"pmc","topics":["natural-language-processing"],"keywords":["Rheumatology","Patient education","Large language models","Artificial intelligence","Chatbots","Retrieval-augmented generation"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13635029","fulltext_endpoint":"/api/document/pmc-13635029/fulltext","references_endpoint":"/api/document/pmc-13635029/references"},{"id":"pmc-13636112","title":"The 5R's of large language model‐assisted diagnosis: A practical framework for hospitalists","year":2026,"authors":["Peter Barish","Andrew D. Auerbach","Sumant R. Ranji"],"author_count":3,"journal":"Journal of Hospital Medicine","doi":"10.1002/jhm.70390","source":"pmc","topics":["natural-language-processing"],"keywords":[],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13636112","fulltext_endpoint":"/api/document/pmc-13636112/fulltext","references_endpoint":"/api/document/pmc-13636112/references"},{"id":"pmc-13635130","title":"Large language models for acute coronary syndrome triage at first medical contact in emergency departments","year":2026,"authors":["Xuliang Wang","Wenyao Wang","Ling Li"],"author_count":21,"journal":"NPJ Digital Medicine","doi":"10.1038/s41746-026-02904-y","source":"pmc","topics":["natural-language-processing"],"keywords":["Cardiology","Diseases","Health care","Medical research"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13635130","fulltext_endpoint":"/api/document/pmc-13635130/fulltext","references_endpoint":"/api/document/pmc-13635130/references"},{"id":"pmc-13633554","title":"Guideline‐augmented prompting improves comparative preference and response consistency of large language model outputs for orthopaedic anaesthesia questions: A controlled prompting study","year":2026,"authors":["Anita Széll","Yinan Yu","Jacob F. Oeding"],"author_count":13,"journal":"Journal of Experimental Orthopaedics","doi":"10.1002/jeo2.70922","source":"pmc","topics":["natural-language-processing"],"keywords":["GPT","large language models (LLMs)","orthopaedic anaesthesia","prompt engineering"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13633554","fulltext_endpoint":"/api/document/pmc-13633554/fulltext","references_endpoint":"/api/document/pmc-13633554/references"},{"id":"pmc-13633333","title":"Development and Validation of Human-AI Collaborative Workflow in SNOMED CT Mapping of Bilingual Clinical Text","year":2026,"authors":["Hyeonhoon Lee","Seonhye Choi","Duyeon Kim"],"author_count":7,"journal":"Journal of Medical Systems","doi":"10.1007/s10916-026-02465-3","source":"pmc","topics":["natural-language-processing"],"keywords":["SNOMED CT","Clinical terminology mapping","Large language models","Retrieval-augmented generation","Health information exchange"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13633333","fulltext_endpoint":"/api/document/pmc-13633333/fulltext","references_endpoint":"/api/document/pmc-13633333/references"},{"id":"pmc-13632470","title":"Brain-inspired cognitive state modeling of complex English discourse reading: an LLM-parameterized hierarchical semi-Markov approach","year":2026,"authors":["Bing Xie","Yongjin Hu","Linlin Zhao"],"author_count":3,"journal":"Frontiers in Neurorobotics","doi":"10.3389/fnbot.2026.1930227","source":"pmc","topics":["natural-language-processing"],"keywords":["brain-inspired cognitive modeling","cognitive state trajectory","complex discourse comprehension","English reading cognition","hierarchical hidden semi-Markov model","large language models"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13632470","fulltext_endpoint":"/api/document/pmc-13632470/fulltext","references_endpoint":"/api/document/pmc-13632470/references"},{"id":"pmc-13631089","title":"Dual-BERT adversarial learning for Hausa user-generated text normalization","year":2026,"authors":["Sulaimon Adebayo Bashir","Abubakar Ahmad Aliero","Amina Gogo Tafida"],"author_count":7,"journal":"Frontiers in Artificial Intelligence","doi":"10.3389/frai.2026.1905680","source":"pmc","topics":["natural-language-processing"],"keywords":["BERT","GaN","Hausa language","neural network","text normalization","under-resourced languages","user-generated content"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13631089","fulltext_endpoint":"/api/document/pmc-13631089/fulltext","references_endpoint":"/api/document/pmc-13631089/references"},{"id":"pmc-13630920","title":"Efficacy and safety of maternal RSV vaccination against infant lower respiratory tract infections: a systematic review and meta-analysis","year":2026,"authors":["Gokce Naz Kucukbas Ozonder","Arzu Yavuz"],"author_count":2,"journal":"Frontiers in Public Health","doi":"10.3389/fpubh.2026.1935421","source":"pmc","topics":["natural-language-processing"],"keywords":["infant","lower respiratory tract infection","maternal immunisation","preterm birth","respiratory syncytial virus","RSV vaccine","systematic review","vaccine effectiveness"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13630920","fulltext_endpoint":"/api/document/pmc-13630920/fulltext","references_endpoint":"/api/document/pmc-13630920/references"},{"id":"pmc-13633066","title":"Exploring Conversational Dynamics in Scientific and Pseudoscientific Health Communities on YouTube: Process Mining and Network Analysis Study","year":2026,"authors":["Stefan Anca","Samuel Paul Gallegos-Serrano","Carlos Luis Sánchez-Bocanegra"],"author_count":5,"journal":"Journal of Medical Internet Research","doi":"10.2196/95273","source":"pmc","topics":["natural-language-processing"],"keywords":["health communication","social media","YouTube","misinformation","pseudoscience","natural language processing","process mining","network analysis"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13633066","fulltext_endpoint":"/api/document/pmc-13633066/fulltext","references_endpoint":"/api/document/pmc-13633066/references"},{"id":"pmc-13632907","title":"Voice-Enabled Virtual Patients for Interactive Training in Standardized Clinical Assessment: Mixed Methods Pilot Study","year":2026,"authors":["Veronica Bossio Botero","Vijay Yadav","Jacob Ouyang"],"author_count":5,"journal":"Journal of Medical Internet Research","doi":"10.2196/89066","source":"pmc","topics":["natural-language-processing"],"keywords":["virtual patient","large language models","clinical simulation","medical education","psychiatry","depression","artificial intelligence","AI"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13632907","fulltext_endpoint":"/api/document/pmc-13632907/fulltext","references_endpoint":"/api/document/pmc-13632907/references"},{"id":"pmc-13632277","title":"Large language model based simplification of ophthalmological clinical and ancillary results for patient readability","year":2026,"authors":["Alexandre Antônio Marques Rosa","Francisco Vinícius Moraes de Souza","José Leandro Nascimento da Silva"],"author_count":8,"journal":"International Journal of Retina and Vitreous","doi":"10.1186/s40942-026-00896-1","source":"pmc","topics":["natural-language-processing"],"keywords":["Artificial intelligence","Large language models","Prompt engineering","Ophthalmology","Health literacy"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13632277","fulltext_endpoint":"/api/document/pmc-13632277/fulltext","references_endpoint":"/api/document/pmc-13632277/references"},{"id":"pmc-13630440","title":"Longitudinal symptom severity tracking in vagus nerve stimulation patients: a 2-stage LLM-based pipeline with explainable AI","year":2026,"authors":["Vedansh Thakkar","Greg M Silverman","Maura Putzer"],"author_count":13,"journal":"JAMIA Open","doi":"10.1093/jamiaopen/ooag195","source":"pmc","topics":["natural-language-processing"],"keywords":["vagus nerve stimulation","large language models","symptom severity","longitudinal analysis","explainable AI","health informatics"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13630440","fulltext_endpoint":"/api/document/pmc-13630440/fulltext","references_endpoint":"/api/document/pmc-13630440/references"},{"id":"pmc-13627401","title":"A hybrid RAG and rule-based reasoning framework for technical document analysis","year":2026,"authors":["Esther Rachel Thomas","Niranchna Natarajan","Keerthana Jayaprakashan"],"author_count":4,"journal":"Frontiers in Artificial Intelligence","doi":"10.3389/frai.2026.1922508","source":"pmc","topics":["natural-language-processing"],"keywords":["deterministic retrieval","geometric spatial indexing","knowledge graph","retrieval-augmented generation","rule extraction","safety-critical systems","SAT-based inference"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13627401","fulltext_endpoint":"/api/document/pmc-13627401/fulltext","references_endpoint":"/api/document/pmc-13627401/references"},{"id":"pmc-13630282","title":"A Conversational Agent for Providing Personalized Preexposure Prophylaxis (PrEP) Support: Protocol for Chatbot Implementation and Evaluation","year":2026,"authors":["Fatima Sayed","Albert Park","Patrick Sean Sullivan"],"author_count":4,"journal":"JMIR Research Protocols","doi":"10.2196/79966","source":"pmc","topics":["natural-language-processing"],"keywords":["HIV prevention","chatbots","conversational agents","large language models","retrieval-augmented generation","generative AI","PrEP","preexposure prophylaxis"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13630282","fulltext_endpoint":"/api/document/pmc-13630282/fulltext","references_endpoint":"/api/document/pmc-13630282/references"},{"id":"pmc-13630307","title":"Value in app store metadata and user reviews: A dual perspective on quality of Parkinson’s and dementia apps","year":2026,"authors":["Isabel Schwaninger","Paria Ighanian","Liyousew Borga"],"author_count":6,"journal":"PLOS Digital Health","doi":"10.1371/journal.pdig.0001730","source":"pmc","topics":["natural-language-processing"],"keywords":[],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13630307","fulltext_endpoint":"/api/document/pmc-13630307/fulltext","references_endpoint":"/api/document/pmc-13630307/references"},{"id":"pmc-13630261","title":"Informed forecasting: Leveraging auxiliary knowledge to boost large language model performance on time series forecasting","year":2026,"authors":["Mohammadmahdi Ghasemloo","Alireza Moradi"],"author_count":2,"journal":"PLOS One","doi":"10.1371/journal.pone.0358970","source":"pmc","topics":["natural-language-processing"],"keywords":[],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13630261","fulltext_endpoint":"/api/document/pmc-13630261/fulltext","references_endpoint":"/api/document/pmc-13630261/references"},{"id":"pmc-13627714","title":"Alignment of natural language processing-derived RDoC scores with depression, anhedonia, and anxiety in psychiatric electronic health records","year":2026,"authors":["Manuel Kuhn","Seoin Ahn","Vincent Holstein"],"author_count":15,"journal":"NPP - Digital Psychiatry and Neuroscience","doi":"10.1038/s44277-026-00070-3","source":"pmc","topics":["natural-language-processing"],"keywords":["Depression","Anxiety"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13627714","fulltext_endpoint":"/api/document/pmc-13627714/fulltext","references_endpoint":"/api/document/pmc-13627714/references"},{"id":"pmc-13630162","title":"Longitudinal phenotyping of heart failure with preserved ejection fraction identifies early- and end-stage disease states","year":2026,"authors":["Samuel Brown","Fardad Soltani","Jack Wu"],"author_count":27,"journal":"Open Heart","doi":"10.1136/openhrt-2026-004351","source":"pmc","topics":["natural-language-processing"],"keywords":["Electronic Health Records","Heart Failure, Diastolic","Risk Factors"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13630162","fulltext_endpoint":"/api/document/pmc-13630162/fulltext","references_endpoint":"/api/document/pmc-13630162/references"},{"id":"pmc-13628033","title":"The AWARE (AI Use, Why, Attachment, Reality and Risk, and Effect on Functioning) Framework for Assessing Patients’ Use of AI in Mental Health Care","year":2026,"authors":["Alexandre Hudon","Venkat Bhat","John-Jose Nunez"],"author_count":6,"journal":"JMIR Medical Education","doi":"10.2196/108766","source":"pmc","topics":["natural-language-processing"],"keywords":["artificial intelligence","AI","conversational artificial intelligence","large language models","ChatGPT","psychiatry","mental health","psychiatric interview"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13628033","fulltext_endpoint":"/api/document/pmc-13628033/fulltext","references_endpoint":"/api/document/pmc-13628033/references"},{"id":"pmc-13628037","title":"Retrieve-Then-Verify for Evaluating Evidence Support and Hallucination in Large Language Model–Generated Medical Information: Empirical Study","year":2026,"authors":["Zhaohui Liang","Cynthia Sheffield","Gisela Butera"],"author_count":4,"journal":"JMIR AI","doi":"10.2196/93761","source":"pmc","topics":["natural-language-processing"],"keywords":["AI","large language models","digital health","medical informatics","evidence-based medicine","information quality","information retrieval","hallucinations"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13628037","fulltext_endpoint":"/api/document/pmc-13628037/fulltext","references_endpoint":"/api/document/pmc-13628037/references"},{"id":"pmc-13628039","title":"Using Natural Language Processing to Examine State Child Maltreatment Policies and Associations With Outcomes: Multistate Cross-Sectional Study","year":2026,"authors":["Zhidi Luo","Richard A Epstein","Nethra Sambamoorthi"],"author_count":5,"journal":"JMIR Public Health and Surveillance","doi":"10.2196/99643","source":"pmc","topics":["natural-language-processing"],"keywords":["child abuse","child neglect","cluster analysis","clustering analysis","data mining","factor analysis","health policy","natural language processing"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13628039","fulltext_endpoint":"/api/document/pmc-13628039/fulltext","references_endpoint":"/api/document/pmc-13628039/references"},{"id":"pmc-13630295","title":"The consensus-based CINEX guideline for reporting clinical information extraction studies","year":2026,"authors":["Daniel Reichenpfader","Jamil Zaghir","Elsa Cécilia-Joseph"],"author_count":12,"journal":"Journal of the American Medical Informatics Association: JAMIA","doi":"10.1093/jamia/ocag136","source":"pmc","topics":["natural-language-processing"],"keywords":["information extraction","reporting guideline","reporting quality","Delphi study","consensus statement"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13630295","fulltext_endpoint":"/api/document/pmc-13630295/fulltext","references_endpoint":"/api/document/pmc-13630295/references"},{"id":"pmc-13630293","title":"CUI-Curate: a GraphRAG-based framework for automated clinical concept curation for NLP applications","year":2026,"authors":["Victoria Blake","Jamie Novak","Mathew Miller"],"author_count":5,"journal":"Journal of the American Medical Informatics Association: JAMIA","doi":"10.1093/jamia/ocag110","source":"pmc","topics":["natural-language-processing"],"keywords":["clinical natural language processing","Unified Medical Language System","knowledge bases","large language models","phenotype"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13630293","fulltext_endpoint":"/api/document/pmc-13630293/fulltext","references_endpoint":"/api/document/pmc-13630293/references"},{"id":"pmc-13625625","title":"Knowledge-guided adaptive educational support for traditional Chinese medicine using large language models and knowledge graphs: integrating Confucian educational principles","year":2026,"authors":["Jili Hu","Yuchen Duan","Qingqing Zhou"],"author_count":9,"journal":"Frontiers in Medicine","doi":"10.3389/fmed.2026.1943401","source":"pmc","topics":["natural-language-processing"],"keywords":["adaptive educational support","intelligent tutoring system","knowledge graphs","large language models","traditional Chinese medicine"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13625625","fulltext_endpoint":"/api/document/pmc-13625625/fulltext","references_endpoint":"/api/document/pmc-13625625/references"},{"id":"pmc-13630292","title":"Translation readiness of model-based synthetic tabular data in healthcare: a systematic review and governance audit","year":2026,"authors":["Simone Castagno","Alagu Subramanian","Ilias E Epanomeritakis"],"author_count":8,"journal":"Journal of the American Medical Informatics Association: JAMIA","doi":"10.1093/jamia/ocag102","source":"pmc","topics":["natural-language-processing"],"keywords":["synthetic data","generative AI","systematic review","governance and translation readiness","privacy"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13630292","fulltext_endpoint":"/api/document/pmc-13630292/fulltext","references_endpoint":"/api/document/pmc-13630292/references"},{"id":"pmc-13625394","title":"In-process large language model requesting through knowledge graphs for interfacing with manufacturing digital twins","year":2026,"authors":["Reiki Tanaya Karuka","Vinh Nguyen"],"author_count":2,"journal":"Machine Learning","doi":"10.1088/3049-4761/aea41f","source":"pmc","topics":["natural-language-processing"],"keywords":["digital twin","large language models","knowledge graph","3D printers","in-process monitoring"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13625394","fulltext_endpoint":"/api/document/pmc-13625394/fulltext","references_endpoint":"/api/document/pmc-13625394/references"},{"id":"pmc-13623941","title":"A cross-sectional evaluation of large language model chatbot interfaces for patient-facing herpes zoster information: safety, information quality, and readability","year":2026,"authors":["Dalian Liang","Cong Mai","Zhengkun Zhang"],"author_count":9,"journal":"Frontiers in Public Health","doi":"10.3389/fpubh.2026.1955701","source":"pmc","topics":["natural-language-processing"],"keywords":["chatbots","herpes zoster","information quality","large language models","patient education","readability","safety","Shingles"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13623941","fulltext_endpoint":"/api/document/pmc-13623941/fulltext","references_endpoint":"/api/document/pmc-13623941/references"},{"id":"pmc-13623619","title":"From risk classification to clinical action: a prespecified paired pilot benchmark of public large language model interfaces for diabetes-related foot ulcer prevention","year":2026,"authors":["Yang Wen","Liyuan Chen","Xin Deng"],"author_count":8,"journal":"Frontiers in Endocrinology","doi":"10.3389/fendo.2026.1977377","source":"pmc","topics":["natural-language-processing"],"keywords":["artificial intelligence","clinical decision support","diabetic foot","large language models","preventive care","risk stratification"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13623619","fulltext_endpoint":"/api/document/pmc-13623619/fulltext","references_endpoint":"/api/document/pmc-13623619/references"},{"id":"pmc-13626751","title":"The Effects of Artificial Intelligence in Quality Assessment of Outpatient Mental Health Services on Human Auditors","year":2026,"authors":["Hayden T. McLeod","Joshua L. Cohen","Dena M. Bravata"],"author_count":8,"journal":"Applied Clinical Informatics","doi":"10.1055/a-2961-0302","source":"pmc","topics":["natural-language-processing"],"keywords":["system improvement","quality","clinical decision support","artificial intelligence","electronic health records and systems","psychiatry"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13626751","fulltext_endpoint":"/api/document/pmc-13626751/fulltext","references_endpoint":"/api/document/pmc-13626751/references"},{"id":"pmc-13626657","title":"What young people want to improve their health and well-being: insights from over 1.5 million young people","year":2026,"authors":["Ashrita Saran","David A Ross","Renée De Jong"],"author_count":12,"journal":"Health Policy and Planning","doi":"10.1093/heapol/czaf108","source":"pmc","topics":["natural-language-processing"],"keywords":["adolescent health","survey","perceptions","qualitative research","World Health Organization","youth"],"license":"CC-BY-3.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13626657","fulltext_endpoint":"/api/document/pmc-13626657/fulltext","references_endpoint":"/api/document/pmc-13626657/references"},{"id":"pmc-13622797","title":"PatternFormer: Learning Multiple Solution Patterns in Reaction--Diffusion Systems","year":2026,"authors":["Wenrui Hao","Zhipeng Chang","Wenpeng Yin"],"author_count":3,"journal":"Research Square","doi":"10.21203/rs.3.rs-10537151/v1","source":"pmc","topics":["natural-language-processing"],"keywords":[],"license":"CC-BY-4.0","has_fulltext":false,"has_references":false,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13622797","fulltext_endpoint":null,"references_endpoint":null},{"id":"pmc-13622788","title":"STDN-GEN: rapid synthesis of layered critical-material dependency networks for supply-chain sustainability analysis","year":2026,"authors":["Aaron Schroeder","Mandy L. Wilson","Galen S. Harrison"],"author_count":11,"journal":"Research Square","doi":"10.21203/rs.3.rs-10767641/v1","source":"pmc","topics":["natural-language-processing"],"keywords":["critical materials","supply chain","multi-agent systems","large language models","sustainability","dependency networks"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13622788","fulltext_endpoint":"/api/document/pmc-13622788/fulltext","references_endpoint":"/api/document/pmc-13622788/references"},{"id":"pmc-13622205","title":"Agentic campaign control for high-throughput de novo binder design","year":2026,"authors":["Minkyu Jeon","Jinyeop Song","Jina Kim"],"author_count":4,"journal":"bioRxiv","doi":"10.64898/2026.09.22.753604","source":"pmc","topics":["natural-language-processing"],"keywords":[],"license":"CC-BY-4.0","has_fulltext":false,"has_references":false,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13622205","fulltext_endpoint":null,"references_endpoint":null},{"id":"pmc-13622407","title":"A founder population reveals genetic variation with major effect on serious mental illness","year":2026,"authors":["Greta Gerdes","Veronica Tozzo","Susan K Service"],"author_count":59,"journal":"medRxiv","doi":"10.64898/2026.09.25.26363706","source":"pmc","topics":["natural-language-processing"],"keywords":[],"license":"CC-BY-4.0","has_fulltext":false,"has_references":false,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13622407","fulltext_endpoint":null,"references_endpoint":null},{"id":"pmc-13623005","title":"The seven virtues of Samurai: Revisiting a classic through computational language analysis","year":2026,"authors":["Ryota Takano","Minoru Karasawa"],"author_count":2,"journal":"PNAS Nexus","doi":"10.1093/pnasnexus/pgag314","source":"pmc","topics":["natural-language-processing"],"keywords":["culture","morality","historical psychology","natural language processing"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13623005","fulltext_endpoint":"/api/document/pmc-13623005/fulltext","references_endpoint":"/api/document/pmc-13623005/references"},{"id":"pmc-13619594","title":"Language-dependent variation in observed mechanistic performance of web-enabled large language models across myeloid–mucosal immune contexts: a blinded expert evaluation","year":2026,"authors":["Jinxi Hu","Tong Mei","Lei Lin"],"author_count":16,"journal":"Frontiers in Immunology","doi":"10.3389/fimmu.2026.1965554","source":"pmc","topics":["natural-language-processing"],"keywords":["large language models","mechanistic fidelity","mucosal immunity","multilingual evaluation","myeloid cells"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13619594","fulltext_endpoint":"/api/document/pmc-13619594/fulltext","references_endpoint":"/api/document/pmc-13619594/references"},{"id":"pmc-13622876","title":"Covert Promotional Cancer-Related Content in Korean Search Engines: Computational Content Analysis of Naver and Google","year":2026,"authors":["Kyung Han You","Ho Young Yoon","Dalyong Kim"],"author_count":7,"journal":"Journal of Medical Internet Research","doi":"10.2196/90335","source":"pmc","topics":["natural-language-processing"],"keywords":["digital cancer information","native advertising","covert promotion","health information quality","medical commercialization","digital health literacy","pinkwashing"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13622876","fulltext_endpoint":"/api/document/pmc-13622876/fulltext","references_endpoint":"/api/document/pmc-13622876/references"},{"id":"pmc-13620435","title":"Characterizing Family Abuse in Suicidal Ideation Posts on Reddit: Large Language Model–Assisted Content Analysis","year":2026,"authors":["Salim Sazzed"],"author_count":1,"journal":"JMIR Infodemiology","doi":"10.2196/90340","source":"pmc","topics":["natural-language-processing"],"keywords":["suicidal ideation","family abuse","domestic violence","social media","Reddit","mental health","large language models"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13620435","fulltext_endpoint":"/api/document/pmc-13620435/fulltext","references_endpoint":"/api/document/pmc-13620435/references"},{"id":"pmc-13620155","title":"The effectiveness of CBT-based NLP-enabled AI conversational agents for mental health intervention: a systematic review and meta-analysis","year":2026,"authors":["Yaming Hang","Wenzhi Wu","Yi Feng"],"author_count":7,"journal":"NPJ Digital Medicine","doi":"10.1038/s41746-026-02886-x","source":"pmc","topics":["natural-language-processing"],"keywords":["Diseases","Health care","Psychology","Psychology"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13620155","fulltext_endpoint":"/api/document/pmc-13620155/fulltext","references_endpoint":"/api/document/pmc-13620155/references"},{"id":"pmc-7619505","title":"Can We Detect the Undetected? Comparing the Prodromes of Individuals with First Episode Psychosis Detected and Undetected by Clinical High-Risk for Psychosis Services: An Electronic Health Record Study","year":2025,"authors":["Maisie Inns","Madison Gill","Maite Arribas"],"author_count":11,"journal":"Schizophrenia bulletin","doi":"10.1093/schbul/sbaf201","source":"pmc","topics":["natural-language-processing"],"keywords":["clinical high-risk for psychosis","natural language processing","prevention","early detection","early intervention"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-7619505","fulltext_endpoint":"/api/document/pmc-7619505/fulltext","references_endpoint":"/api/document/pmc-7619505/references"},{"id":"pmc-13616943","title":"Compliance of large language model generated meal plans with polish dietary recommendations: a real-world evaluation under average user conditions—3(LM)Diet study","year":2026,"authors":["Hubert Dobrowolski"],"author_count":1,"journal":"Frontiers in Public Health","doi":"10.3389/fpubh.2026.1949700","source":"pmc","topics":["natural-language-processing"],"keywords":["artificial intelligence","diets analysis","healthy eating","large language models","nutritional recommendations"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13616943","fulltext_endpoint":"/api/document/pmc-13616943/fulltext","references_endpoint":"/api/document/pmc-13616943/references"},{"id":"pmc-13616205","title":"Locally deployed large language model for real‐world lecanemab eligibility pre‐screening","year":2026,"authors":["Carolin Miklitz","Maya Shrestha","Wegner Philipp"],"author_count":10,"journal":"Alzheimer's & Dementia : Diagnosis, Assessment & Disease Monitoring","doi":"10.1002/dad2.70495","source":"pmc","topics":["natural-language-processing"],"keywords":["Alzheimer's disease","disease‐modifying therapy","large language models","lecanemab","secure clinical AI deployment","treatment eligibility"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13616205","fulltext_endpoint":"/api/document/pmc-13616205/fulltext","references_endpoint":"/api/document/pmc-13616205/references"},{"id":"pmc-13615712","title":"Large language model-based triage to identify antiretroviral therapy adherence barriers and risk levels in patient messages","year":2026,"authors":["Yuanchao Ma","Sofiane Achiche","David Lessard"],"author_count":11,"journal":"JAMIA Open","doi":"10.1093/jamiaopen/ooag169","source":"pmc","topics":["natural-language-processing"],"keywords":["large language models","medication adherence","natural language processing","HIV","responsible AI","clinical triage"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13615712","fulltext_endpoint":"/api/document/pmc-13615712/fulltext","references_endpoint":"/api/document/pmc-13615712/references"},{"id":"pmc-13615117","title":"MergeRepair: An Exploratory Study on Merging Task-Specific Adapters in Code LLMs for Automated Program Repair","year":2026,"authors":["Meghdad Dehghan","Jie JW Wu","Fatemeh H. Fard"],"author_count":4,"journal":"Empirical Software Engineering","doi":"10.1007/s10664-026-10943-y","source":"pmc","topics":["natural-language-processing"],"keywords":["Automated program repair","Model merging","Code LLMs","Adapters"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13615117","fulltext_endpoint":"/api/document/pmc-13615117/fulltext","references_endpoint":"/api/document/pmc-13615117/references"},{"id":"pmc-13612992","title":"Core open science practices in major medical journals: development of an automatized tool based on a Large Language Model","year":2026,"authors":["Constant Vinatier","Guillaume Freyermuth","Margaux Millour"],"author_count":9,"journal":"Open Research Europe","doi":"10.12688/openreseurope.24615.1","source":"pmc","topics":["natural-language-processing"],"keywords":["open science","reproducibility","large language models","automated monitoring","transparency","medical journals","meta-research","text mining."],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13612992","fulltext_endpoint":"/api/document/pmc-13612992/fulltext","references_endpoint":"/api/document/pmc-13612992/references"},{"id":"pmc-13614575","title":"Augmenting patient safety surveillance in radiation oncology with large language model-based root cause analysis: A proof-of-concept study","year":2026,"authors":["Yuntao Wang","Mariluz De Ornelas","Matthew T. Studenski"],"author_count":6,"journal":"PLOS Digital Health","doi":"10.1371/journal.pdig.0001740","source":"pmc","topics":["natural-language-processing"],"keywords":[],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13614575","fulltext_endpoint":"/api/document/pmc-13614575/fulltext","references_endpoint":"/api/document/pmc-13614575/references"},{"id":"pmc-13614219","title":"Practical Guide to Large Language Models for Information Extraction in Behavioral Health Notes: Tutorial","year":2026,"authors":["Diya Saha","Juliet B Edgcomb"],"author_count":2,"journal":"JMIR Mental Health","doi":"10.2196/97498","source":"pmc","topics":["natural-language-processing"],"keywords":["large language models","clinical notes","electronic health records","suicide risk","medication adherence","natural language processing","structured outputs","zero-shot learning"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13614219","fulltext_endpoint":"/api/document/pmc-13614219/fulltext","references_endpoint":"/api/document/pmc-13614219/references"},{"id":"pmc-13611523","title":"A Large Language Model-Guided IMU-PDR Method for Detection and Error Correction","year":2026,"authors":["Guowei Liang","Hongyu Wu","Siqi Bai"],"author_count":4,"journal":"Sensors (Basel, Switzerland)","doi":"10.3390/s26185897","source":"pmc","topics":["natural-language-processing"],"keywords":["pedestrian dead reckoning (PDR)","large language model (LLM)","chain-of-thought reasoning (CoT)"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13611523","fulltext_endpoint":"/api/document/pmc-13611523/fulltext","references_endpoint":"/api/document/pmc-13611523/references"},{"id":"pmc-13607968","title":"From Bits to Bedside: From Data to Knowledge in Vascular Surgery","year":2026,"authors":["Johannes Hatzl","Alexandru Barb","Jasmin Epple"],"author_count":8,"journal":"Journal of Clinical Medicine","doi":"10.3390/jcm15187293","source":"pmc","topics":["natural-language-processing"],"keywords":["vascular surgery","Data–Information–Knowledge","natural language processing","large language models"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13607968","fulltext_endpoint":"/api/document/pmc-13607968/fulltext","references_endpoint":"/api/document/pmc-13607968/references"},{"id":"pmc-13604666","title":"Enzalutamide Plus ADT for the Treatment of mHSPC: Real-World Evidence from a Bulgarian Cohort","year":2026,"authors":["Manoela Manova","Boryana Ivanova","Antoan Rangelov"],"author_count":12,"journal":"Cancers","doi":"10.3390/cancers18183007","source":"pmc","topics":["natural-language-processing"],"keywords":["enzalutamide","androgen deprivation therapy","metastatic hormone-sensitive prostate cancer","androgen receptor signaling inhibitor","real-world","ARCHES"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13604666","fulltext_endpoint":"/api/document/pmc-13604666/fulltext","references_endpoint":"/api/document/pmc-13604666/references"},{"id":"pmc-13605253","title":"Explaining Driver Behavior in Sim Racing with Shannon Entropy and LLM Feedback","year":2026,"authors":["Tomaz Nunes","Morsinaldo Medeiros","Marianne Silva"],"author_count":6,"journal":"Entropy","doi":"10.3390/e28090960","source":"pmc","topics":["natural-language-processing"],"keywords":["embedded systems","driver behavior permutation entropy","Jensen–Shannon divergence","Edge AI"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13605253","fulltext_endpoint":"/api/document/pmc-13605253/fulltext","references_endpoint":"/api/document/pmc-13605253/references"},{"id":"pmc-13606284","title":"Autonomous Assessment of Medical Consent Forms: Development and Preliminary Feasibility Demonstration of the Universal Health Communication Index (UHCI)","year":2026,"authors":["Cihat Özgüncü"],"author_count":1,"journal":"Healthcare","doi":"10.3390/healthcare14182956","source":"pmc","topics":["natural-language-processing"],"keywords":["informed consent","large language models","patient-centered care","health technology assessment","health policy","neurology"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13606284","fulltext_endpoint":"/api/document/pmc-13606284/fulltext","references_endpoint":"/api/document/pmc-13606284/references"},{"id":"pmc-13606428","title":"PxFquery: A Bioinformatics Tool for Large Language Model-Assisted Functional Analysis of Large-Scale Perturbation Signatures","year":2026,"authors":["Jun Cao","Xiaoyue Wang"],"author_count":2,"journal":"Genes","doi":"10.3390/genes17091014","source":"pmc","topics":["natural-language-processing"],"keywords":["perturbation signatures","functional analysis","large language models","Connectivity Map","LINCS","functional genomics"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13606428","fulltext_endpoint":"/api/document/pmc-13606428/fulltext","references_endpoint":"/api/document/pmc-13606428/references"},{"id":"pmc-13606791","title":"Artificial Intelligence for Clinical Decision Support in Rural Spine Care: A Narrative Review","year":2026,"authors":["Aviraj Soin","Charles A. Odonkor","Massab Bashir"],"author_count":4,"journal":"Healthcare","doi":"10.3390/healthcare14182935","source":"pmc","topics":["natural-language-processing"],"keywords":["artificial intelligence","machine learning","deep learning","clinical decision support","rural health","spine care","spinal pain disorder","low back pain"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13606791","fulltext_endpoint":"/api/document/pmc-13606791/fulltext","references_endpoint":"/api/document/pmc-13606791/references"},{"id":"pmc-13606323","title":"Evaluating Large Language Model–Based Automated Scoring in a Voice-Based Virtual Standardized Patient Platform for Medical Students: Cross-Sectional Agreement Study","year":2026,"authors":["Xiaoxing Gao","Xiaoming Huang","Rongrong Hu"],"author_count":10,"journal":"JMIR Medical Education","doi":"10.2196/95578","source":"pmc","topics":["natural-language-processing"],"keywords":["large language model","virtual standardized patient","information gathering","communication skills","rater variability","mixed-effects model"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13606323","fulltext_endpoint":"/api/document/pmc-13606323/fulltext","references_endpoint":"/api/document/pmc-13606323/references"},{"id":"pmc-13608209","title":"Implementing a Cognitively Grounded Artificial Moral Advisor: A Multi-LLM Multi-Agent Approach Based on the Cognitive–Reflective Equilibration Model","year":2026,"authors":["Chulmin Kim","Seongjin Ahn"],"author_count":2,"journal":"Journal of Intelligence","doi":"10.3390/jintelligence14090212","source":"pmc","topics":["natural-language-processing"],"keywords":["ethical AI","artificial moral advisor","Cognitive–Reflective Equilibration Model","large language models","multi-agent systems","ethical decision-making","Cognitive–Reflective Equilibration Architecture"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13608209","fulltext_endpoint":"/api/document/pmc-13608209/fulltext","references_endpoint":"/api/document/pmc-13608209/references"},{"id":"pmc-13608446","title":"Social Status and Clinical Resource Allocation by a Large Language Model: An Evaluation of 30,618 Decisions","year":2026,"authors":["Siddharth Gandhi","Michael Balas"],"author_count":2,"journal":"Journal of Personalized Medicine","doi":"10.3390/jpm16090448","source":"pmc","topics":["natural-language-processing"],"keywords":["large language models","algorithmic bias","social status","clinical resource allocation","medical ethics"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13608446","fulltext_endpoint":"/api/document/pmc-13608446/fulltext","references_endpoint":"/api/document/pmc-13608446/references"},{"id":"pmc-13609266","title":"From Sentiment to Signal: Narrative–Physiology Discordance as a Testable Target for Artificial Intelligence in Critical Care","year":2026,"authors":["Ignacio Martin-Loeches","Hongliu Cai"],"author_count":2,"journal":"Medical Sciences","doi":"10.3390/medsci14050595","source":"pmc","topics":["natural-language-processing"],"keywords":["critical care","clinical sentiment analysis","natural language processing","clinical deterioration","clinical prediction model","calibration","alert fatigue","electronic health records"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13609266","fulltext_endpoint":"/api/document/pmc-13609266/fulltext","references_endpoint":"/api/document/pmc-13609266/references"},{"id":"pmc-13605143","title":"Accuracy and Short-Term Consistency of Generative AI Chatbots in Guideline-Based Endodontic Decision Support: A Multi-Model Benchmarking Study","year":2026,"authors":["Ilgın İlgenli","Ezgi Avcı","Timur Köse"],"author_count":3,"journal":"Dentistry Journal","doi":"10.3390/dj14090598","source":"pmc","topics":["natural-language-processing"],"keywords":["large language models","chatbots","generative artificial intelligence","endodontics","root canal therapy","decision support systems","clinical","practice guidelines as topic"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13605143","fulltext_endpoint":"/api/document/pmc-13605143/fulltext","references_endpoint":"/api/document/pmc-13605143/references"},{"id":"pmc-13605640","title":"Associations Between Systemic Diseases and Dental Pulp Diagnoses: A Retrospective Chart Study Using a Locally Deployed Large Language Model","year":2026,"authors":["Yoshifumi Kobayashi","Shuying Jiang","Jia Huang"],"author_count":9,"journal":"Dentistry Journal","doi":"10.3390/dj14090575","source":"pmc","topics":["natural-language-processing"],"keywords":["dental pulp","endodontics","cancer","HIV","diabetes mellitus","chart study","LLM"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13605640","fulltext_endpoint":"/api/document/pmc-13605640/fulltext","references_endpoint":"/api/document/pmc-13605640/references"},{"id":"pmc-13601161","title":"Development of a Framework for Evaluating Large Language Model Safety and Reliability: a Proof-of-Concept Evaluation","year":2026,"authors":["Fangyan Liu","Zhi Liu","Xiaolu Fei"],"author_count":7,"journal":"Journal of Medical Systems","doi":"10.1007/s10916-026-02459-1","source":"pmc","topics":["natural-language-processing"],"keywords":["Large language models","Clinical decision support systems","AI safety evaluation","Response consistency","AI governance","Health informatics"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13601161","fulltext_endpoint":"/api/document/pmc-13601161/fulltext","references_endpoint":"/api/document/pmc-13601161/references"},{"id":"pmc-13601875","title":"Effect of Large Language Model–Powered Virtual Standardized Patients on History-Taking Among Undergraduate Medical Students: Propensity-Matched Cohort Study","year":2026,"authors":["Yuchen He","Chen Chen","Rong Yin"],"author_count":14,"journal":"JMIR Medical Education","doi":"10.2196/92486","source":"pmc","topics":["natural-language-processing"],"keywords":["artificial intelligence","education","large language model","medical history taking","medical","practice behaviors","real-time feedback","undergraduate"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13601875","fulltext_endpoint":"/api/document/pmc-13601875/fulltext","references_endpoint":"/api/document/pmc-13601875/references"},{"id":"pmc-13171980","title":"LLM-Assessed Relatedness of Microbiome Study Descriptions Aligns more Strongly with Functional than with Taxonomic Profile Similarity","year":2026,"authors":["Nefeli Kleopatra Venetsianou","Savvas Paragkamian","Konstantinos Kalaentzis"],"author_count":8,"journal":"Microbial Ecology","doi":"10.1007/s00248-026-02730-5","source":"pmc","topics":["natural-language-processing"],"keywords":[],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13171980","fulltext_endpoint":"/api/document/pmc-13171980/fulltext","references_endpoint":"/api/document/pmc-13171980/references"},{"id":"pmc-13599638","title":"IndoHotelABSA: A large-scale aspect-based sentiment analysis dataset of Indonesian hotel reviews for hospitality CRM","year":2026,"authors":["Xaverius Sika","Eko Sediyono","Irwan Sembiring"],"author_count":5,"journal":"Data in Brief","doi":"10.1016/j.dib.2026.113209","source":"pmc","topics":["natural-language-processing"],"keywords":["Aspect-based sentiment analysis","Indonesian NLP","Low-resource","Hotel reviews","Benchmark dataset","Customer relationship management"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13599638","fulltext_endpoint":"/api/document/pmc-13599638/fulltext","references_endpoint":"/api/document/pmc-13599638/references"},{"id":"pmc-13598279","title":"Large language model–assisted support among caregivers of patients with epilepsy: associations with caregiver burden and psychosocial outcomes","year":2026,"authors":["Lan Lin","Ruixue Gao","Wanhui Dong"],"author_count":3,"journal":"Frontiers in Neurology","doi":"10.3389/fneur.2026.1912114","source":"pmc","topics":["natural-language-processing"],"keywords":["caregiver burden","DeepSeek","epilepsy","large language model","psychosocial outcomes"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13598279","fulltext_endpoint":"/api/document/pmc-13598279/fulltext","references_endpoint":"/api/document/pmc-13598279/references"},{"id":"pmc-13597792","title":"Cross-sectional comparative evaluation of five large language model–driven chatbots on an expert-curated 44-question set of parent-facing questions about pediatric vitamin D deficiency","year":2026,"authors":["Ping Shi","Tian Zhou","Qiao Nie"],"author_count":6,"journal":"Frontiers in Pediatrics","doi":"10.3389/fped.2026.1927624","source":"pmc","topics":["natural-language-processing"],"keywords":["chatbot health advice","DISCERN","generative artificial intelligence","large language models","patient education","pediatric vitamin D deficiency","readability","rickets"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13597792","fulltext_endpoint":"/api/document/pmc-13597792/fulltext","references_endpoint":"/api/document/pmc-13597792/references"},{"id":"pmc-13599295","title":"A multinational cross-sectional survey on the use of AI-based voice assistance systems in emergency medical services","year":2026,"authors":["Clemens Möllenhoff","Oddvar Uleberg","Matthias Bender"],"author_count":5,"journal":"Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine","doi":"10.1186/s13049-026-01695-1","source":"pmc","topics":["natural-language-processing"],"keywords":["Artificial intelligence (AI)","Digital technologies","Emergency medical services (EMS)","Emergency medicine","Human–computer interaction (HCI)","Natural language processing (NLP)","Prehospital care","User study"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13599295","fulltext_endpoint":"/api/document/pmc-13599295/fulltext","references_endpoint":"/api/document/pmc-13599295/references"},{"id":"pmc-13600661","title":"Implicit Bias in Large Language Model Diagnosis of Eating Disorders: Experimental Vignette Study","year":2026,"authors":["Deija McCalla","Bochen Li","Saul Jaeger"],"author_count":7,"journal":"JMIR AI","doi":"10.2196/93498","source":"pmc","topics":["natural-language-processing"],"keywords":["large language models","algorithmic bias","eating disorders","psychiatric diagnosis","health equity","artificial intelligence"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13600661","fulltext_endpoint":"/api/document/pmc-13600661/fulltext","references_endpoint":"/api/document/pmc-13600661/references"},{"id":"pmc-13598380","title":"Towards a Compositional Framework for Describing Human Phenotypes","year":2026,"authors":["Wanting Hu","Yunchao Ling","Xinyue Hu"],"author_count":12,"journal":"Advanced Science","doi":"10.1002/advs.77730","source":"pmc","topics":["natural-language-processing"],"keywords":["anomaly screening","data element standardization","data quality assessment","integrative research","international human phenome project","large language model agents","phenotype assembly"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13598380","fulltext_endpoint":"/api/document/pmc-13598380/fulltext","references_endpoint":"/api/document/pmc-13598380/references"},{"id":"pmc-13597565","title":"Exploring young adult cancer survivors’ perspectives on generative AI chatbots for symptom support","year":2026,"authors":["Yupawadee Kantabanlang","Grace Kanzawa-Lee","Rachel A. Pozzar"],"author_count":4,"journal":"Supportive Care in Cancer","doi":"10.1007/s00520-026-11254-0","source":"pmc","topics":["natural-language-processing"],"keywords":["Generative artificial intelligence","Young adult","Cancer treatment-related symptoms","Qualitative research"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13597565","fulltext_endpoint":"/api/document/pmc-13597565/fulltext","references_endpoint":"/api/document/pmc-13597565/references"},{"id":"pmc-13593897","title":"Artificial intelligence for university physical education: a data–knowledge synergy digital-intelligent sports platform","year":2026,"authors":["Jiacheng Feng","Meijie Yao","Xueying Feng"],"author_count":7,"journal":"Frontiers in Public Health","doi":"10.3389/fpubh.2026.1835590","source":"pmc","topics":["natural-language-processing"],"keywords":["artificial intelligence","basic psychological needs","digital-intelligent sports","retrieval-augmented generation","university physical education"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13593897","fulltext_endpoint":"/api/document/pmc-13593897/fulltext","references_endpoint":"/api/document/pmc-13593897/references"},{"id":"pmc-13596072","title":"SemNet Explorer: An Evidence-Grounded Knowledge Graph–LLM Framework for Multi-Scale Mechanistic Reporting Across Biomedical Domains","year":2026,"authors":["Xin He","David Camacho","Lama Moukheiber"],"author_count":10,"journal":"Big data and cognitive computing","doi":"10.3390/bdcc10060171","source":"pmc","topics":["natural-language-processing"],"keywords":["knowledge graph","large language models","graph-based reasoning","SemNet 2.0","mechanistic reporting","multimorbidity","comparative pathophysiology","drug repurposing"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13596072","fulltext_endpoint":"/api/document/pmc-13596072/fulltext","references_endpoint":"/api/document/pmc-13596072/references"},{"id":"pmc-13593815","title":"LLM and CQL computable phenotypes for myocarditis adverse event feature and outcome determinations using patient FHIR data: a feasibility study","year":2026,"authors":["Fraser W. Gaspar","Seth B. Roberts","Francis X. Campion"],"author_count":12,"journal":"Frontiers in Digital Health","doi":"10.3389/fdgth.2026.1903755","source":"pmc","topics":["natural-language-processing"],"keywords":["adverse event","CQL","FHIR","LLM","surveillance","pharmacovigilence","health information network"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13593815","fulltext_endpoint":"/api/document/pmc-13593815/fulltext","references_endpoint":"/api/document/pmc-13593815/references"},{"id":"pmc-13597023","title":"Semantic Similarity Search Approach to Extract Exemplars of Stigmatizing and Positive Language in Obstetric Clinical Notes: Exploratory Study","year":2026,"authors":["Jihye Kim Scroggins","Ismael Ibrahim Hulchafo","Veronica Barcelona"],"author_count":10,"journal":"JMIR Medical Informatics","doi":"10.2196/85088","source":"pmc","topics":["natural-language-processing"],"keywords":["natural language processing","electronic health records","stigmatizing language","health communication","bias"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13597023","fulltext_endpoint":"/api/document/pmc-13597023/fulltext","references_endpoint":"/api/document/pmc-13597023/references"},{"id":"pmc-13590772","title":"A large language model-enhanced knowledge graph framework for text-implied public health policy gap screening: digital health executability, behavioral accessibility, and service-support coverage","year":2026,"authors":["Xinyi Wang","Jiao Lu"],"author_count":2,"journal":"Frontiers in Public Health","doi":"10.3389/fpubh.2026.1937335","source":"pmc","topics":["natural-language-processing"],"keywords":["behavioral accessibility","digital health policy","evidence-linked explanation","knowledge graph","large language models","policy executability","policy-text screening","service-support coverage"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13590772","fulltext_endpoint":"/api/document/pmc-13590772/fulltext","references_endpoint":"/api/document/pmc-13590772/references"},{"id":"pmc-13590328","title":"Evidence-domain translation in the Lyme disease controversy over persistent post-treatment symptoms","year":2026,"authors":["Teo Susnjak","Lorenz Brehme","Kunal Garg"],"author_count":5,"journal":"Frontiers in Cellular and Infection Microbiology","doi":"10.3389/fcimb.2026.1913455","source":"pmc","topics":["natural-language-processing"],"keywords":["chronic lyme disease","computational discourse analysis","epistemic filters","evidence translation","large language models","lyme disease","post-treatment lyme disease syndrome","scientific controversy"],"license":"CC-BY-4.0","has_fulltext":true,"has_references":true,"rights_class":"licensed_content","access":"paid","version":1,"content_endpoint":"/api/document/pmc-13590328","fulltext_endpoint":"/api/document/pmc-13590328/fulltext","references_endpoint":"/api/document/pmc-13590328/references"}]}