Influence of artificial intelligence on ophthalmologists' judgments in glaucoma.

Journal: PloS one
PMID: 40238811

Abstract

PURPOSE: To examine the influence of artificial intelligence (AI) on physicians' judgments regarding the presence and severity of glaucoma on fundus photographs in an online simulation system.

Authors

  • Kenji Kashiwagi
    Department of Ophthalmology, Faculty of Medicine, University of Yamanashi, 1110 Shimokato, Chuo, Yamanashi, Japan. kenjik@yamanashi.ac.jp.
  • Masahiro Toyoura
    Department of Computer Science and Engineering, University of Yamanashi, Kofu, Japan.
  • Xiaoyang Mao
    Department of Computer Science and Engineering, University of Yamanashi, Kofu, Japan.
  • Kazuhide Kawase
    Yasuma Eye Clinic, Nagoya, Japan.
  • Masaki Tanito
    Division of Ophthalmology, Matsue Red Cross Hospital, Shimane, Japan.
  • Toru Nakazawa
    Department of Ophthalmology, Tohoku University Graduate School of Medicine, Miyagi, Japan.
  • Atsuya Miki
    Department of Ophthalmology, Osaka University Graduate School of Medicine, Osaka, Japan.
  • Kazuhiko Mori
    Medicinal Safety Research Laboratories, Daiichi Sankyo Co., Ltd., 1-16-13 Kitakasai, Edogawa-ku, Tokyo, 134-8630, Japan.
  • Takeshi Yoshitomi
    Department of Orthoptics, Fukuoka International University of Health and Welfare, Fukuoka, Japan.

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