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

Computer-Aided Diagnosis (94) Clinical Informatics (904) Clinical Information and Decision Making (1314) Ontologies, Classifications, and Coding (223) Decision Support for Health Professionals (1127) Advanced Data Analytics in eHealth (104) Chatbots and Conversational Agents (458)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48808, first published .
ChatGPT-Generated Differential Diagnosis Lists for Complex Case–Derived Clinical Vignettes: Diagnostic Accuracy Evaluation

ChatGPT-Generated Differential Diagnosis Lists for Complex Case–Derived Clinical Vignettes: Diagnostic Accuracy Evaluation

ChatGPT-Generated Differential Diagnosis Lists for Complex Case–Derived Clinical Vignettes: Diagnostic Accuracy Evaluation

Authors of this article:

Takanobu Hirosawa1 Author Orcid Image ;   Ren Kawamura1 Author Orcid Image ;   Yukinori Harada1 Author Orcid Image ;   Kazuya Mizuta1 Author Orcid Image ;   Kazuki Tokumasu2 Author Orcid Image ;   Yuki Kaji3 Author Orcid Image ;   Tomoharu Suzuki4 Author Orcid Image ;   Taro Shimizu1 Author Orcid Image
Article Authors Cited by (19) Tweetations (8) Metrics

Journals

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  7. Koga S, Du W. Integrating AI in medicine: Lessons from Chat-GPT's limitations in medical imaging. Digestive and Liver Disease 2024;56(6):1114 View
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  9. Mizuta K, Hirosawa T, Harada Y, Shimizu T. Can ChatGPT-4 evaluate whether a differential diagnosis list contains the correct diagnosis as accurately as a physician?. Diagnosis 2024;0(0) View
  10. Koga S. The double-edged nature of ChatGPT in self-diagnosis. Wiener klinische Wochenschrift 2024;136(7-8):243 View
  11. Hudon A, Kiepura B, Pelletier M, Phan V. Using ChatGPT in Psychiatry to Design Script Concordance Tests in Undergraduate Medical Education: Mixed Methods Study. JMIR Medical Education 2024;10:e54067 View
  12. Hirosawa T, Harada Y, Mizuta K, Sakamoto T, Tokumasu K, Shimizu T. Evaluating ChatGPT-4's accuracy in identifying final diagnoses within differential diagnoses compared to those of physicians: an experimental study for diagnostic cases (Preprint). JMIR Formative Research 2024 View
  13. Bridges J. Computerized diagnostic decision support systems – a comparative performance study of Isabel Pro vs. ChatGPT4. Diagnosis 2024;0(0) View
  14. Fabre B, Magalhaes Filho M, Aguiar P, da Costa F, Gutierres B, William W, Del Giglio A. Evaluating GPT-4 as an academic support tool for clinicians: a comparative analysis of case records from the literature. ESMO Real World Data and Digital Oncology 2024;4:100042 View
  15. Shikino K, Shimizu T, Otsuka Y, Tago M, Takahashi H, Watari T, Sasaki Y, Iizuka G, Tamura H, Nakashima K, Kunitomo K, Suzuki M, Aoyama S, Kosaka S, Kawahigashi T, Matsumoto T, Orihara F, Morikawa T, Nishizawa T, Hoshina Y, Yamamoto Y, Matsuo Y, Unoki Y, Kimura H, Tokushima M, Watanuki S, Saito T, Otsuka F, Tokuda Y. Evaluation of ChatGPT-Generated Differential Diagnosis for Common Diseases With Atypical Presentation: Descriptive Research. JMIR Medical Education 2024;10:e58758 View
  16. Harada Y, Sakamoto T, Sugimoto S, Shimizu T. Longitudinal Changes in Diagnostic Accuracy of a Differential Diagnosis List Developed by an AI-Based Symptom Checker: Retrospective Observational Study. JMIR Formative Research 2024;8:e53985 View
  17. Nasef H, Patel H, Amin Q, Baum S, Ratnasekera A, Ang D, Havron W, Nakayama D, Elkbuli A. Evaluating the Accuracy, Comprehensiveness, and Validity of ChatGPT Compared to Evidence-Based Sources Regarding Common Surgical Conditions: Surgeons’ Perspectives. The American Surgeon™ 2024 View
  18. Kaneda Y, Tayuinosho A, Tomoyose R, Takita M, Hamaki T, Tanimoto T, Ozaki A. Evaluating ChatGPT's effectiveness and tendencies in Japanese internal medicine. Journal of Evaluation in Clinical Practice 2024 View
  19. Koga S, Du W. From text to image: challenges in integrating vision into ChatGPT for medical image interpretation. Neural Regeneration Research 2025;20(2):487 View