Novel Computer-Aided Diagnosis Software for the Prevention of Retained Surgical Items.

Journal: Journal of the American College of Surgeons
PMID: 34592404

Abstract

BACKGROUND: Retained surgical items are a serious human error. Surgical sponges account for 70% of retained surgical items. To prevent retained surgical sponges, it is important to establish a system that can identify errors and avoid the occurrence of adverse events. To date, no computer-aided diagnosis software specialized for detecting retained surgical sponges has been reported. We developed a software program that enables easy and effective computer-aided diagnosis of retained surgical sponges with high sensitivity and specificity using the technique of deep learning, a subfield of artificial intelligence.

Authors

  • Shun Yamaguchi
    Department of Surgery, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
  • Akihiko Soyama
    Department of Surgery, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
  • Shinichiro Ono
    Department of Digestive and General Surgery, Graduate School of Medicine, University of the Ryukyus, Nishihara, Japan.
  • Shin Hamauzu
    Imaging Technology Center, Research and Development Management Headquarters, FUJIFILM Corporation, Tokyo, Japan.
  • Masahiko Yamada
    Imaging Technology Center, Research and Development Management Headquarters, FUJIFILM Corporation, Tokyo, Japan.
  • Toru Fukuda
    Department of Radiology, Nagasaki University Hospital.
  • Masaaki Hidaka
    Department of Surgery, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan; Department of Radiological Sciences, Nagasaki University Graduate School of Biomedical Sciences.
  • Toshiyuki Tsurumoto
    Department of Macroscopic Anatomy, Nagasaki University Graduate School of Biomedical Sciences.
  • Masataka Uetani
    Department of Radiological Sciences, Nagasaki University Graduate School of Biomedical Sciences.
  • Susumu Eguchi
    Department of Surgery, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan. Electronic address: sueguchi@nagasaki-u.ac.jp.

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