NPJ digital medicine · 2025
Digitalization of surgical features improves surgical accuracy via surgeon guidance and robotization.
СтатьяНазвание и аннотация: Перевод пока не подготовлен
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Chen Xiaoyun, Liu Jiali, Liang Hongli, Chen Zelin, Liu Zitian, Zheng Yingfeng, Lian Zhangkai, Luo Lixia, Chen Weirong, Wu Mingxing, Zheng Danying, Liu Xialin, Cheng Bing, Huang Shengsong, Zhang Xinyu, Jin Ling, Luo Yan, Liu Zhenzhen, Long Erping, Yu-Wai-Man Patrick, Zheng Weishi, Huang Kai, Lin Haotian, Liu Yizhi
Аннотация
The evolution of surgical techniques aims to augment surgeons' capabilities through digital guidance and robotization for higher precision and consistency. Currently, surgeries heavily rely on surgeon's experience and visual judgment, causing operation variations. Artificial intelligence (AI) offers a solution by extracting and digitizing surgical trajectories and features from videos to provide digital guidance. In this study, we collected 17,538 videos of capsulorhexis, a crucial step in cataract surgery, to create an AI-driven system named Meta Surgery (MetaS). MetaS evaluates and identifies ideal cases, extracts their digital characteristics, and fits an optimal capsulorhexis path in real-time during surgery. Surgeons performed capsulorhexis benefited from MetaS's guidance and a lens caliper, which increased the rate of ideal capsulorhexis by ~40%. Additionally, these digital features enabled a surgical robot to perform precise capsulorhexis autonomously in porcine eyes. This approach augments surgeons' surgical skills and paves the way for the autonomous operation of surgical robots.