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人工智能辅助彩色编码腹腔镜肝切除术:初步研究。

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

机构信息

Department of General and Gastroenterological Surgery, Showa University School of Medicine, Tokyo, Japan.

Anaut Inc., Tokyo, Japan.

出版信息

J Hepatobiliary Pancreat Sci. 2024 Feb;31(2):67-68. doi: 10.1002/jhbp.1388. Epub 2023 Oct 25.

DOI:10.1002/jhbp.1388
PMID:37877501
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.

摘要

田代和同事首次证明,人工智能系统可以通过在出血和吲哚菁绿荧光成像下进行实时彩色编码,精确识别腹腔镜肝切除术中的肝内血管结构。该系统支持实时导航,为腹腔镜或机器人肝手术提供了更安全的选择。

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Color-coded laparoscopic liver resection using artificial intelligence: A preliminary study.人工智能辅助彩色编码腹腔镜肝切除术:初步研究。
J Hepatobiliary Pancreat Sci. 2024 Feb;31(2):67-68. doi: 10.1002/jhbp.1388. Epub 2023 Oct 25.
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