Evaluation of ChatGPT-Generated Differential Diagnosis for Common Diseases With Atypical Presentation: Descriptive Research.

Journal: JMIR medical education
PMID: 38915174

Abstract

BACKGROUND: The persistence of diagnostic errors, despite advances in medical knowledge and diagnostics, highlights the importance of understanding atypical disease presentations and their contribution to mortality and morbidity. Artificial intelligence (AI), particularly generative pre-trained transformers like GPT-4, holds promise for improving diagnostic accuracy, but requires further exploration in handling atypical presentations.

Authors

  • Kiyoshi Shikino
    Department of General Medicine Chiba University Hospital Chiba Japan.
  • Taro Shimizu
    Department of Diagnostic and Generalist Medicine Dokkyo Medical University Tochigi Japan.
  • Yuki Otsuka
    Department of General Medicine, Dentistry and Pharmaceutical Sciences, Okayama University Graduate School of Medicine, Okayama, Japan.
  • Masaki Tago
    Department of General Medicine Saga University Hospital Saga Japan.
  • Hiromizu Takahashi
    Department of General Medicine, Faculty of Medicine Juntendo University Tokyo Japan.
  • Takashi Watari
    General Medicine Center Shimane University Hospital Izumo Shimane Japan.
  • Yosuke Sasaki
    Department of General Medicine and Emergency Care Toho University School of Medicine Tokyo Japan.
  • Gemmei Iizuka
    Center for Preventive Medical Sciences, Chiba University, Chiba, Japan.
  • Hiroki Tamura
    Department of Environmental Robotics, Faculty of Engineering, University of Miyazaki, 1-1 Gakuen Kibanadai-nishi, Miyazaki-shi 889-2192, Japan.
  • Koichi Nakashima
    Department of General Medicine, Awa Regional Medical Center, Chiba, Japan.
  • Kotaro Kunitomo
    Department of General Medicine, National Hospital Organization Kumamoto Medical Center, Kumamoto, Japan.
  • Morika Suzuki
    Department of General Medicine, National Hospital Organization Kumamoto Medical Center, Kumamoto, Japan.
  • Sayaka Aoyama
    Department of Internal Medicine, Mito Kyodo General Hospital, Ibaraki, Japan.
  • Shintaro Kosaka
    Tokyo Metropolitan Hiroo Hospital, Tokyo, Japan.
  • Teiko Kawahigashi
    Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, United States.
  • Tomohiro Matsumoto
    Department of General Medicine, Nerima Hikarigaoka Hospital, Tokyo 179-0072, Japan.
  • Fumina Orihara
    Division of General Medicine, Nerima Hikarigaoka Hospital, Tokyo, Japan.
  • Toru Morikawa
    Department of General Medicine, Nara City Hospital, Nara, Japan.
  • Toshinori Nishizawa
    Department of General Internal Medicine, St. Luke's International Hospital, Tokyo, Japan.
  • Yoji Hoshina
    Department of Neurology, University of Utah, Salt Lake City, UT, United States.
  • Yu Yamamoto
    Division of General Medicine, Center for Community Medicine, Jichi Medical University, Tochigi, Japan.
  • Yuichiro Matsuo
    Department of Clinical Epidemiology and Health Economics, The Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Yuto Unoki
    Department of General Internal Medicine, Iizuka Hospital, Fukuoka, Japan.
  • Hirofumi Kimura
    Department of General Internal Medicine, Iizuka Hospital, Fukuoka, Japan.
  • Midori Tokushima
    Saga Medical Career Support Center, Saga University Hospital, Saga, Japan.
  • Satoshi Watanuki
    Tokyo Metropolitan Tama Medical Center, Fuchu, Tokyo, Japan.
  • Takuma Saito
    Department of Emergency and General Medicine, Tokyo Metropolitan Tama Medical Center, Tokyo, Japan.
  • Fumio Otsuka
    Department of General Medicine, Dentistry and Pharmaceutical Sciences, Okayama University Graduate School of Medicine, Okayama, Japan.
  • Yasuharu Tokuda
    Japan Community Health Care Organization, Minato, Tokyo, Japan.

Keywords

External Resources

Popular Topics
Recent Journals