Development of an artificial intelligence system to indicate intraoperative findings of scarring in laparoscopic cholecystectomy for cholecystitis.

Journal: Surgical endoscopy
PMID: 39838147

Abstract

BACKGROUND: The surgical difficulty of laparoscopic cholecystectomy (LC) for acute cholecystitis (AC) and the risk of bile duct injury (BDI) depend on the degree of fibrosis and scarring caused by inflammation; therefore, understanding these intraoperative findings is crucial to preventing BDI. Scarring makes it particularly difficult to perform safely and increases the BDI risk. This study aimed to develop an artificial intelligence (AI) system to indicate intraoperative findings of scarring in LC for AC.

Authors

  • Hiroki Orimoto
    Department of Gastroenterological and Pediatric Surgery, Faculty of Medicine, Oita University, 1-1 Hasama-Machi, Yufu, Oita, 879-5593, Japan. orihiro@oita-u.ac.jp.
  • Teijiro Hirashita
    Department of Gastroenterological and Pediatric Surgery, Faculty of Medicine, Oita University, 1-1 Hasama-Machi, Yufu, Oita, 879-5593, Japan.
  • Subaru Ikeda
    Department of Health Sciences, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
  • Shota Amano
    Department of Gastroenterological and Pediatric Surgery, Faculty of Medicine, Oita University, 1-1 Hasama-Machi, Yufu, Oita, 879-5593, Japan.
  • Masahiro Kawamura
    Faculty of Medicine, Department of Gastroenterological and Pediatric Surgery, Oita University, Oita, Japan.
  • Yoko Kawano
    Department of Gastroenterological and Pediatric Surgery, Faculty of Medicine, Oita University, 1-1 Hasama-Machi, Yufu, Oita, 879-5593, Japan.
  • Hiroomi Takayama
    Department of Gastroenterological and Pediatric Surgery, Faculty of Medicine, Oita University, 1-1 Hasama-Machi, Yufu, Oita, 879-5593, Japan.
  • Takashi Masuda
    Department of Gastroenterological and Pediatric Surgery, Faculty of Medicine, Oita University, 1-1 Hasama-Machi, Yufu, Oita, 879-5593, Japan.
  • Yuichi Endo
    Faculty of Medicine, Department of Gastroenterological and Pediatric Surgery, Oita University, 1-1 Idaigaoka, Hasama-machi, Yufu-City, Oita, 879-5593, Japan.
  • Yusuke Matsunobu
    Faculty of Information Engineering, Department of Information and Systems Engineering, Fukuoka Institute of Technology, 3-30-1 Wajiro-higashi, Higashi-ku, Fukuoka-City, Fukuoka, 811-0295, Japan.
  • Ken'ichi Shinozuka
    Faculty of Information Engineering, Department of Information and Systems Engineering, Fukuoka Institute of Technology, 1-30-1 Wajiro higashi, Higashi-ku, Fukuoka, Fukuoka, 811-0295, Japan.
  • Tatsushi Tokuyasu
    Faculty of Information Engineering, Department of Information and Systems Engineering, Fukuoka Institute of Technology, 3-30-1 Wajiro-higashi, Higashi-ku, Fukuoka-City, Fukuoka, 811-0295, Japan. tokuyasu@fit.ac.jp.
  • Masafumi Inomata
    Faculty of Medicine, Department of Gastroenterological and Pediatric Surgery, Oita University, 1-1 Idaigaoka, Hasama-machi, Yufu-City, Oita, 879-5593, Japan.

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