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This paper is in the following e-collection/theme issue:

Decision Support for Health Professionals (2382) Electronic Health Records (1808) New and Emerging Methods and Tools in Surgery and Anesthesiology (76) Artificial Intelligence in Surgery and Perioperative Medicine (98) Clinical Decision Support for Anesthesiology (31) Generative Language Models Including ChatGPT (1667) AI Language Models in Health Care (857)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/83893, first published .
Doctor filling out medical history questionnaire with patient

GPT-4o–Powered Preanesthetic AI: Development and Validation Study

GPT-4o–Powered Preanesthetic AI: Development and Validation Study

Authors of this article:

Bo-Han Lin1, 2 Author Orcid Image ;   Cheng-Wei Lu1, 3 Author Orcid Image ;   I-Ching Hou2 Author Orcid Image ;   Tzu-Yu Lin1, 3 Author Orcid Image ;   Chin-E Liu1 Author Orcid Image ;   Chong-Sun Khoi1, 4 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Emirkadı H. Interpreting Agreement in AI-Assisted American Society of Anesthesiologists (ASA) Classification. JMIR Medical Informatics 2026;14:e111973 View
  2. Lin B, Lu C, Hou I, Lin T, Liu C, Khoi C. Authors' Reply: Interpreting Agreement in AI-Assisted American Society of Anesthesiologists (ASA) Classification. JMIR Medical Informatics 2026;14:e112521 View