Generative Language Models Including ChatGPT
Articles published in this theme: 1047 (scroll down to load remaining articles)
2026
Performance of Cloud-Hosted Large Vision-Language Models on the Japanese National Examination for Clinical Laboratory Technicians: Comparative Benchmarking Study
JMIR Med Educ 2026 (Sep 11); 12:e84266
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Generative AI Use, Perceived Usefulness, Perceived Risk, and Physician Burnout and Fulfillment Among Chinese Physicians: Mixed Methods Multiregional Study
J Med Internet Res 2026 (Sep 11); 28:e94155
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Exploring Bias in Medical Applications of Large Language Models: Protocol for a Systematic Review
JMIR Res Protoc 2026 (Sep 10); 15:e91348
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Tool or Companion? Reframing Conversational AI to Prevent Psychological Harm
JMIR Ment Health 2026 (Sep 10); 13:e99354
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AI-Assisted Angoff Standard Setting for Multiple-Choice Examinations in Medical Education: Comparative Study
JMIR Med Educ 2026 (Sep 09); 12:e98766
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“Small” Large Language Models in the Hospital: Evaluation Study on Real-World Data in a Resource-Constrained Setting
J Med Internet Res 2026 (Sep 09); 28:e86453
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Closing the Solidarity Gap Requires Closing the Accountability Gap for Patient-Facing AI
J Med Internet Res 2026 (Sep 08); 28:e108685
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Sentence-Level Provenance for AI Medical Record Summarization in a Click-to-Inspect Interface: Formative Usability Evaluation
JMIR Hum Factors 2026 (Sep 08); 13:e95644
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Large Language Models for Heterogeneous Data Mining in Liver Disease: Framework Development and Retrospective Validation Study
J Med Internet Res 2026 (Sep 04); 28:e92921
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Scaffolded AI-Supported Problem-Based Learning for Medical Interns: Exploratory Retrospectively Registered Randomized Controlled Evaluation With a Voluntary Feasibility Follow-Up
JMIR Med Educ 2026 (Sep 03); 12:e95039
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A Secure, Scalable Large Language Model–Based System (CIDER) for High-Throughput Clinical Data Extraction From Medical Reports: Retrospective Validation Study
J Med Internet Res 2026 (Sep 02); 28:e95780
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Performance of ChatGPT, Claude, and AMBOSS on the European Board of Urology In-Service Assessment and Alignment With the European Association of Urology 2025 Guidelines: Comparative Study
JMIR Form Res 2026 (Sep 02); 10:e100148
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Large Language Model–Based Behavioral Activation Chatbot for Young People With Depression Using Artificial Users and Clinical Experts: Mixed Methods Evaluation
JMIR Ment Health 2026 (Sep 01); 13:e94781
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Exploring Real-World Use of AI Chatbots for Mental Health Support: Cross-Sectional Survey Study
JMIR Ment Health 2026 (Sep 01); 13:e104316
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Performance and Hallucination Analysis of Large Language Models on European Anesthesiology Examinations: Cross-Sectional Comparative Study
JMIR Form Res 2026 (Sep 01); 10:e95859
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Authors’ Reply: Who Reviews the Rewrite? Separating Patient-Initiated and Institutionally Curated Large Language Model Simplification
JMIR AI 2026 (Aug 31); 5:e107588
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Who Reviews the Rewrite? Separating Patient-Initiated and Institutionally Curated Large Language Model Simplification
JMIR AI 2026 (Aug 31); 5:e107277
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Teaching the Atomic Sentence Method for Source-Verified, AI-Assisted Literature Synthesis to Clinical Health Care Professionals: Single-Cohort Feasibility and Acceptability Study
JMIR Form Res 2026 (Aug 27); 10:e98343
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Documentation Quality and Educational Value in AI-Assisted Feedback
JMIR Med Educ 2026 (Aug 26); 12:e105029
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Perceived Support Is Not Psychological Change: Reframing AI Chatbots in Mental Health Care
JMIR AI 2026 (Aug 26); 5:e94503
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