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

Journals

  1. Kaneda Y, Takita M, Hamaki T, Ozaki A, Tanimoto T. ChatGPT's Potential in Enhancing Physician Efficiency: A Japanese Case Study. Cureus 2023 View
  2. Sallam M, Al-Salahat K, Al-Ajlouni E. ChatGPT Performance in Diagnostic Clinical Microbiology Laboratory-Oriented Case Scenarios. Cureus 2023 View
  3. Onder C, Koc G, Gokbulut P, Taskaldiran I, Kuskonmaz S. Evaluation of the reliability and readability of ChatGPT-4 responses regarding hypothyroidism during pregnancy. Scientific Reports 2024;14(1) View
  4. Ćirković A, Katz T. Exploring the Potential of ChatGPT-4 in Predicting Refractive Surgery Categorizations: Comparative Study. JMIR Formative Research 2023;7:e51798 View
  5. Nacher M, Françoise U, Adenis A. ChatGPT neglects a neglected disease. The Lancet Infectious Diseases 2024;24(2):e76 View
  6. Sallam M, Barakat M, Sallam M. A Preliminary Checklist (METRICS) to Standardize the Design and Reporting of Studies on Generative Artificial Intelligence–Based Models in Health Care Education and Practice: Development Study Involving a Literature Review. Interactive Journal of Medical Research 2024;13:e54704 View
  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
  8. Silva T, Andrade-Bortoletto M, Ocampo T, Alencar-Palha C, Bornstein M, Oliveira-Santos C, Oliveira M. Performance of a commercially available Generative Pre-trained Transformer (GPT) in describing radiolucent lesions in panoramic radiographs and establishing differential diagnoses. Clinical Oral Investigations 2024;28(3) View
  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, Hiromizu T, 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 (Preprint). JMIR Medical Education 2024 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