Novel navigation for laparoscopic cholecystectomy fusing artificial intelligence and indocyanine green fluorescent imaging.

Journal: Journal of hepato-biliary-pancreatic sciences
PMID: 38558533

Abstract

This preliminary study is the first to demonstrate that AI can precisely identify loose connective tissue during laparoscopic cholecystectomy and ICG fluorescent cholangiography. Tashiro and colleagues conclude that this novel real-time navigation modality fusing AI and ICG fluorescent imaging may enhance safety and provide more reliable laparoscopic or robotic surgery.

Authors

  • Yoshihiko Tashiro
    Department of General and Gastroenterological Surgery, Showa University School of Medicine, Tokyo, Japan.
  • Takeshi Aoki
    Department of General and Gastroenterological Surgery, Showa University School of Medicine, Tokyo, Japan.
  • Nao Kobayashi
    Anaut Inc., Tokyo, Japan.
  • Kodai Tomioka
    Department of General and Gastroenterological Surgery, Showa University School of Medicine, Tokyo, Japan.
  • Kazuhiko Saito
    Department of General and Gastroenterological Surgery, Showa University School of Medicine.
  • Kazuhiro Matsuda
    Surface Science Laboratories, Toray Research Center, Inc., 3-3-7, Sonoyama, Otsu, Shiga 520-8567, Japan.
  • Tomokazu Kusano
    Department of General and Gastroenterological Surgery, Showa University School of Medicine, Tokyo, Japan.

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