Color-coded laparoscopic liver resection using artificial intelligence: A preliminary study.

Journal: Journal of hepato-biliary-pancreatic sciences
Published Date: Oct 25, 2023

Abstract

Tashiro and colleagues demonstrated for the first time that an artificial intelligence system can precisely identify intrahepatic vascular structures during laparoscopic liver resection in real time through color coding under bleeding and indocyanine green fluorescent imaging. The system supports real-time navigation and offers potentially safer laparoscopic or robotic liver 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.
  • Yuta Kumazu
    Department of Surgery, Yokohama City University, Kanagawa, Japan.
  • Miho Akabane
    Department of Surgery, Division of Abdominal Transplant, Stanford University Medical Center, Stanford, California, USA.
  • Hideki Shibata
    Department of General and Gastroenterological Surgery, Showa University School of Medicine, Tokyo, Japan.
  • Takahito Hirai
    Department of General and Gastroenterological Surgery, Showa University School of Medicine, Tokyo, Japan.
  • 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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