Large-scale observational study of AI-based patient and surgical material verification system in ophthalmology: real-world evaluation in 37 529 cases.

Journal: BMJ quality & safety
Published Date: Jun 19, 2025

Abstract

BACKGROUND: Surgical errors in ophthalmology can have devastating consequences. We developed an artificial intelligence (AI)-based surgical safety system to prevent errors in patient identification, surgical laterality and intraocular lens (IOL) selection. This study aimed to evaluate its effectiveness in real-world ophthalmic surgical settings.

Authors

  • Hitoshi Tabuchi
    Department of Ophthalmology, Tsukazaki Hospital, Himeji, Japan.
  • Naofumi Ishitobi
    Department of Ophthalmology, Tsukazaki Hospital, Himeji, Japan.
  • Hodaka Deguchi
    Department of Ophthalmology, Tsukazaki Hospital, Himeji, Japan.
  • Yuta Nakaniida
    Department of Ophthalmology, Tsukazaki Hospital, Himeji, Japan.
  • Hayato Tanaka
    Department of Ophthalmology, Tsukazaki Hospital, Himeji, Japan.
  • Masahiro Akada
    Department of Ophthalmology, Tsukazaki Hospital, 68-1 Waku, Aboshi-ku, Himeji, Hyogo 671-1227, Japan.
  • Mao Tanabe
    Department of Ophthalmology, Tsukazaki Hospital, Himeji, Japan.

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