医学
腹腔镜手术
观察研究
外科
普通外科
医学物理学
腹腔镜检查
人工智能
病理
计算机科学
作者
Daichi Kitaguchi,Yuriko Harai,Norihito Kosugi,Kazuyuki Hayashi,Shigehiro Kojima,Yoshimoto Ishikawa,Atsushi Yamada,Hiro Hasegawa,Nobuyoshi Takeshita,Masaaki Ito
摘要
Lay Summary To prevent intraoperative organ injury, surgeons strive to identify anatomical structures as early and accurately as possible during surgery. The objective of this prospective observational study was to develop artificial intelligence (AI)-based real-time automatic organ recognition models in laparoscopic surgery and to compare its performance with that of surgeons. The time taken to recognize target anatomy between AI and both expert and novice surgeons was compared. The AI models demonstrated faster recognition of target anatomy than surgeons, especially novice surgeons. These findings suggest that AI has the potential to compensate for the skill and experience gap between surgeons.
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