AI Language Models in Health Care
Articles published in this theme: 283 (scroll down to load remaining articles)
2026
A Natural Language Processing Framework for Structuring and Visualizing Clinical Trial Eligibility Criteria at Scale: Protocol for a Quantitative Study
JMIR Res Protoc 2026 (May 14); 15:e86425
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Use of Commercially Available Large Language Models to Generate Information Leaflets on Post–Intensive Care Syndrome: Clinical Utility Assessment
JMIR Form Res 2026 (May 14); 10:e81606
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Natural Language Processing of Clinical Notes for Cancer Research and Patient Care Prior to Widespread Adoption of Generative AI: Scoping Review
JMIR AI 2026 (May 14); 5:e73481
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Evaluating AI-Mediated Health Communication via Large Language Model–Based Frequently Asked Questions Rewriting to Foster Clinical Trial Participation: Comparative Survey Study
JMIR AI 2026 (May 12); 5:e87446
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Expert Evaluation and Consensus on GPT-4o Summaries of Clinical Letters: Validation and Results of the Framework and Implementation of AI Tools Project
JMIR Med Inform 2026 (May 11); 14:e90374
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Empathy in AI for Health and Care Settings—Definition, Expression, and Measurement: Protocol for a Scoping Review
JMIR Res Protoc 2026 (May 05); 15:e93078
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Expert Evaluation of the Perceived Accuracy, Relevance, and Safety of Large Language Model–Generated Patient Information in Geriatrics: Cross-Condition Study
JMIR AI 2026 (May 04); 5:e91369
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Backcasting the Trust Gap: A Strategic Road Map for Clinician Adoption of AI Diagnostics by 2040
J Med Internet Res 2026 (Apr 30); 28:e94234
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Korean Medical Consultation With Open-Weight Large Language Models: Pilot Comparative Evaluation of Retrieval-Augmented Generation With Metadata Filtering
JMIR Form Res 2026 (Apr 30); 10:e72604
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Large Language Model Automated Extraction of Clinical Signs and Symptoms From Emergency Department Reports for Machine Learning Prediction Models: Development and Validation Study
JMIR Med Inform 2026 (Apr 30); 14:e81500
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A Beginner’s Guide to Applying Large Language Models in Behavioral Interventions
JMIR Mhealth Uhealth 2026 (Apr 29); 14:e79302
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Errors in AI-Transformed Patient-Centered Mental Health Documentation Written by Psychiatrists: Qualitative Pre-Post Study
JMIR Ment Health 2026 (Apr 29); 13:e78351
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Automated Identification of Nursing Diagnoses and Interventions From Nursing Records Using a Retrieval-Augmented Large Language Model Approach: Quantitative Study
J Med Internet Res 2026 (Apr 29); 28:e89850
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Evaluation of AI Chatbot Responses to a Standardized Patient Query on Myelin Oligodendrocyte Glycoprotein Antibody–Associated Disease: Cross-Sectional Content Analysis
JMIR Med Inform 2026 (Apr 29); 14:e81720
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The Power of Multimodality in Multimodal Large Language Models, Unimodal ChatGPT 5.0, and Human Clinical Experts on a Wound Care Certification Examination: Cross-Sectional Comparative Study
JMIR Form Res 2026 (Apr 27); 10:e88618
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AI Applications Integrating Legal and Regulatory Perspectives in Mental Health: Systematic Review
JMIR AI 2026 (Apr 27); 5:e84305
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Integrating Confidence, Difficulty, and Language Model Calibration for Better Explainability in Clinical Documents Coding: Applications of AI
JMIR AI 2026 (Apr 22); 5:e78764
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Classifying American Society of Anesthesiologists Physical Status With a Low-Rank–Adapted Large Language Model: Development and Validation Study
J Med Internet Res 2026 (Apr 21); 28:e89540
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Multimodal Sentiment and Emotion Analysis Framework for Personalized Health Coaching Messages: Proof-of-Concept Study
JMIR Form Res 2026 (Apr 21); 10:e79558
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Modeling Diabetes Risk and Progression With Public Health Data: Ontology-Guided, Simulation-Capable Digital Twin Study
JMIR Med Inform 2026 (Apr 21); 14:e87374
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