Development of a cross-artificial intelligence system for identifying intraoperative anatomical landmarks and surgical phases during laparoscopic cholecystectomy.

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第一作者： Atsuro,Fujinaga

第一单位： Department of Gastroenterological and Pediatric Surgery, Faculty of Medicine, Oita University, 1-1 Idaigaoka, Hasama-Machi, Oita, 879-5593, Japan. a-yoshimura@oita-u.ac.jp.

作者： Atsuro,Fujinaga ^[1] ; Yuichi,Endo ^[2] ; Tsuyoshi,Etoh ^[2] ; Masahiro,Kawamura ^[2] ; Hiroaki,Nakanuma ^[2] ; Takahide,Kawasaki ^[2] ; Takashi,Masuda ^[2] ; Teijiro,Hirashita ^[2] ; Misako,Kimura ^[3] ; Yusuke,Matsunobu ^[3] ; Ken'ichi,Shinozuka ^[3] ; Yuki,Tanaka ^[4] ; Toshiya,Kamiyama ^[4] ; Takemasa,Sugita ^[4] ; Kenichi,Morishima ^[4] ; Kohei,Ebe ^[5] ; Tatsushi,Tokuyasu ^[3] ; Masafumi,Inomata ^[2]

作者单位： Department of Gastroenterological and Pediatric Surgery, Faculty of Medicine, Oita University, 1-1 Idaigaoka, Hasama-Machi, Oita, 879-5593, Japan. a-yoshimura@oita-u.ac.jp. ^[1] Department of Gastroenterological and Pediatric Surgery, Faculty of Medicine, Oita University, 1-1 Idaigaoka, Hasama-Machi, Oita, 879-5593, Japan. ^[2] Department of Information Systems and Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan. ^[3] Advanced AI Technology Research, Advanced Technology Research, Olympus Corporation, Tokyo, Japan. ^[4] Information Aided Medical Solutions Development, Application Software Engineering, Olympus Medical Systems Corporation, Tokyo, Japan. ^[5]

关键词 Artificial intelligence Bile ducts Deep learning Iatrogenic disease Laparoscopic cholecystectomy