Generative Language Models Including ChatGPT
Articles published in this theme: 1074 (scroll down to load remaining articles)
2026
Feasibility and Preliminary Effects of AI-Generated Personalized Sleep Feedback in High School Female Soccer Players: Pilot Randomized Controlled Trial
JMIR Form Res 2026 (Oct 01); 10:e101615
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Effects of Generative AI–Supported Virtual Reality Dental Skill Training on Learning Performance, Visual Behavior, and Cortical Activation Among Dental Students: Stratified Randomized Controlled Trial
J Med Internet Res 2026 (Oct 01); 28:e90938
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AI-Mediated Assessment of Continuing Medical Education: The Case-based Learning Intelligence Credit System (CLICS) Framework
JMIR Med Educ 2026 (Sep 30); 12:e99520
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Leveraging Generative Large Language Models for Temporal Relation Extraction From French Clinical Narratives: Prompt-Chaining Approach
J Med Internet Res 2026 (Sep 30); 28:e95198
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Navigating AI in Mental Health Care and Psychotherapy: Proposing the GUIDE Framework
JMIR AI 2026 (Sep 30); 5:e101942
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Detecting Misspelled Drug Names Using Transformer-Based Language Models: Model Development and External Validation
JMIR Med Inform 2026 (Sep 29); 14:e91151
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Cloud-Based and Locally Deployed Language Models in Nursing and Health Care: An AI Act–Aligned Framework
JMIR Med Inform 2026 (Sep 25); 14:e90854
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Evaluating the Accuracy of Large Language Models in Risk-of-Bias Assessment Using Version 2 of the Cochrane Risk-of-Bias Tool for Randomized Trials: Exploratory Feasibility Study
J Med Internet Res 2026 (Sep 25); 28:e84915
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Automated Brief Hospital Course Summarization in Cardiac Surgery Using a Lightweight Large Language Model–Based Framework: Development and Evaluation Study on the Medical Information Mart for Intensive Care-IV
J Med Internet Res 2026 (Sep 24); 28:e90870
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Evaluating Large Language Model–Based Automated Scoring in a Voice-Based Virtual Standardized Patient Platform for Medical Students: Cross-Sectional Agreement Study
JMIR Med Educ 2026 (Sep 24); 12:e95578
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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
JMIR AI 2026 (Sep 22); 5:e84469
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Generative AI–Assisted Progressive-Disclosure Case-Based Learning for Clinical Reasoning in Occupational Medicine: Quasi-Experimental Study
JMIR Med Educ 2026 (Sep 22); 12:e103584
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Large Language Model Performance on Multistep Clinical Cases: Comparative Study Across Question and Case Levels
JMIR Med Educ 2026 (Sep 22); 12:e95342
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Process-Oriented, Behaviorally Anchored Assessment of Clinical Reasoning in Large Language Models and the Effect of Extended Thinking: Protocol for a Prospective, Multigroup, Comparative Study
JMIR Res Protoc 2026 (Sep 22); 15:e103220
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Large Language Models for Clinical Data Extraction in Workplace Injury Rehabilitation: Protocol for a Retrospective Pilot Study of Accuracy, Fairness, and Methodological Considerations in Workers’ Compensation Medical Chart Review
JMIR Res Protoc 2026 (Sep 22); 15:e99807
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Real-Time Artificial Intelligence Diagnostic Copilot in Simulated Primary Care Consultations: Randomized Simulation Study
JMIR Form Res 2026 (Sep 22); 10:e104579
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A Clinician-Centered Evaluation Framework for Large Language Models in Patient Education: Integrating the Technology Acceptance Model and Medical Condition Regard Scale
JMIR Form Res 2026 (Sep 21); 10:e100423
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The Alignment Paradox of Medical Large Language Models in Infertility Care: Decoupling Algorithmic Improvement From Clinical Decision-Making Quality
J Med Internet Res 2026 (Sep 21); 28:e97221
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Hospital Human Resource Managers’ Perspectives on Organizational Readiness for Generative AI Skills: Qualitative Descriptive Study
JMIR Med Inform 2026 (Sep 17); 14:e74339
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The AWARE (AI Use, Why, Attachment, Reality and Risk, and Effect on Functioning) Framework for Assessing Patients’ Use of AI in Mental Health Care
JMIR Med Educ 2026 (Sep 16); 12:e108766
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