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

Artificial Intelligence (AI) in Medical Education (856) Graduate and Postgraduate Education for Health Professionals (260) Testing and Assessment in Medical Education (240) Research Training (24) Artificial Intelligence (5018) AI Data (42)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/68697, first published .
Doctor holding smartphone with medical icons, symbolizing digital health.

AI’s Accuracy in Extracting Learning Experiences From Clinical Practice Logs: Observational Study

AI’s Accuracy in Extracting Learning Experiences From Clinical Practice Logs: Observational Study

Authors of this article:

Takeshi Kondo1, 2 Author Orcid Image ;   Hiroshi Nishigori1 Author Orcid Image
Article Authors Cited by (4) Tweetations Metrics

Journals

  1. Anusitviwat C, Suwannaphisit S, Bvonpanttarananon J, Tangtrakulwanich B. Comparing ChatGPT and DeepSeek for Assessment of Multiple-Choice Questions in Orthopedic Medical Education: Cross-Sectional Study. JMIR Formative Research 2025;9:e75607 View
  2. Huang C, Sun Y, Liu W. A comparative study of the performance of different large language models in the Chinese National Pharmacist Licensing Examination. Frontiers in Medicine 2026;13 View
  3. Sveshnikov A, Nikitnikov Y, Shiltsyn M, Dedov D, Obukhov A. Comparative Analysis of Local Large Language Models for Ranking Higher Education Programmes Based on Applicant Digital Profiles. Technologies 2026;14(7):438 View
  4. Kondo T, Miura S, Kataoka Y, Yakura H, Nishigori H, Donkers J. Towards responsible AI in workplace-based assessment: a scoping review using Downing’s framework. Assessment in Education: Principles, Policy & Practice 2026:1 View