Efficacy of Artificial-Intelligence-Driven Differential-Diagnosis List on the Diagnostic Accuracy of Physicians: An Open-Label Randomized Controlled Study.

Journal: International journal of environmental research and public health
Published Date: Feb 21, 2021

Abstract

BACKGROUND: The efficacy of artificial intelligence (AI)-driven automated medical-history-taking systems with AI-driven differential-diagnosis lists on physicians' diagnostic accuracy was shown. However, considering the negative effects of AI-driven differential-diagnosis lists such as omission (physicians reject a correct diagnosis suggested by AI) and commission (physicians accept an incorrect diagnosis suggested by AI) errors, the efficacy of AI-driven automated medical-history-taking systems without AI-driven differential-diagnosis lists on physicians' diagnostic accuracy should be evaluated.

Authors

  • Yukinori Harada
    Department of General Internal Medicine, Nagano Chuo Hospital, Nagano 380-0814, Japan.
  • Shinichi Katsukura
    Department of Diagnostic and Generalist Medicine, Dokkyo Medical University, Tochigi 321-0293, Japan.
  • Ren Kawamura
    Department of Diagnostic and Generalist Medicine, Dokkyo Medical University, Tochigi 321-0293, Japan.
  • Taro Shimizu
    Department of Diagnostic and Generalist Medicine Dokkyo Medical University Tochigi Japan.

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