Importance of Patient History in Artificial Intelligence-Assisted Medical Diagnosis: Comparison Study.

Journal: JMIR medical education
PMID: 38602313

Abstract

BACKGROUND: Medical history contributes approximately 80% to a diagnosis, although physical examinations and laboratory investigations increase a physician's confidence in the medical diagnosis. The concept of artificial intelligence (AI) was first proposed more than 70 years ago. Recently, its role in various fields of medicine has grown remarkably. However, no studies have evaluated the importance of patient history in AI-assisted medical diagnosis.

Authors

  • Fumitoshi Fukuzawa
    Department of General Medicine, Chiba University Hospital, Chiba-shi, Japan.
  • Yasutaka Yanagita
    Department of General Medicine, Chiba University Hospital, Chiba-shi, Japan.
  • Daiki Yokokawa
    Department of General Medicine, Chiba University Hospital, Chiba-shi, Japan.
  • Shun Uchida
    Uchida Internal Medicine Clinic, Saitama-shi, Japan.
  • Shiho Yamashita
    Department of General Medicine, Chiba University Hospital, Chiba-shi, Japan.
  • Yu Li
    Department of Public Health, Shihezi University School of Medicine, 832000, China.
  • Kiyoshi Shikino
    Department of General Medicine Chiba University Hospital Chiba Japan.
  • Tomoko Tsukamoto
    Department of General Medicine, Chiba University Hospital, Chiba-shi, Japan.
  • Kazutaka Noda
    Department of General Medicine, Chiba University Hospital, Chiba-shi, Japan.
  • Takanori Uehara
    Department of General Medicine, Chiba University Hospital, Chiba-shi, Japan.
  • Masatomi Ikusaka
    Department of General Medicine, Chiba University Hospital, Chiba-shi, Japan.

Keywords

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