Digitalization of surgical features improves surgical accuracy via surgeon guidance and robotization

Abstract 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 (A...

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Main Authors: Xiaoyun Chen, Jiali Liu, Hongli Liang, Zelin Chen, Zitian Liu, Yingfeng Zheng, Zhangkai Lian, Lixia Luo, Weirong Chen, Mingxing Wu, Danying Zheng, Xialin Liu, Bing Cheng, Shengsong Huang, Xinyu Zhang, Ling Jin, Yan Luo, Zhenzhen Liu, Erping Long, Patrick Yu-Wai-Man, Weishi Zheng, Kai Huang, Haotian Lin, Yizhi Liu
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:npj Digital Medicine
Online Access:https://doi.org/10.1038/s41746-025-01887-6
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author Xiaoyun Chen
Jiali Liu
Hongli Liang
Zelin Chen
Zitian Liu
Yingfeng Zheng
Zhangkai Lian
Lixia Luo
Weirong Chen
Mingxing Wu
Danying Zheng
Xialin Liu
Bing Cheng
Shengsong Huang
Xinyu Zhang
Ling Jin
Yan Luo
Zhenzhen Liu
Erping Long
Patrick Yu-Wai-Man
Weishi Zheng
Kai Huang
Haotian Lin
Yizhi Liu
author_facet Xiaoyun Chen
Jiali Liu
Hongli Liang
Zelin Chen
Zitian Liu
Yingfeng Zheng
Zhangkai Lian
Lixia Luo
Weirong Chen
Mingxing Wu
Danying Zheng
Xialin Liu
Bing Cheng
Shengsong Huang
Xinyu Zhang
Ling Jin
Yan Luo
Zhenzhen Liu
Erping Long
Patrick Yu-Wai-Man
Weishi Zheng
Kai Huang
Haotian Lin
Yizhi Liu
author_sort Xiaoyun Chen
collection DOAJ
description Abstract 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.
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institution Kabale University
issn 2398-6352
language English
publishDate 2025-08-01
publisher Nature Portfolio
record_format Article
series npj Digital Medicine
spelling doaj-art-5df1b38b756d44569f251fde768ca3792025-08-20T04:02:46ZengNature Portfolionpj Digital Medicine2398-63522025-08-018111110.1038/s41746-025-01887-6Digitalization of surgical features improves surgical accuracy via surgeon guidance and robotizationXiaoyun Chen0Jiali Liu1Hongli Liang2Zelin Chen3Zitian Liu4Yingfeng Zheng5Zhangkai Lian6Lixia Luo7Weirong Chen8Mingxing Wu9Danying Zheng10Xialin Liu11Bing Cheng12Shengsong Huang13Xinyu Zhang14Ling Jin15Yan Luo16Zhenzhen Liu17Erping Long18Patrick Yu-Wai-Man19Weishi Zheng20Kai Huang21Haotian Lin22Yizhi Liu23State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular DiseasesState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular DiseasesSchool of Artificial Intelligence, Sun Yat-sen UniversitySchool of Computer Science and Engineering, Sun Yat-sen UniversityState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular DiseasesState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular DiseasesState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular DiseasesState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular DiseasesState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular DiseasesState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular DiseasesState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular DiseasesState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular DiseasesState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular DiseasesState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular DiseasesState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular DiseasesState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular DiseasesState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular DiseasesState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular DiseasesInstitute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical CollegeCambridge Center for Brain Repair and MRC Mitochondrial Biology Unit, Department of Clinical Neurosciences, University of CambridgeSchool of Computer Science and Engineering, Sun Yat-sen UniversitySchool of Computer Science and Engineering, Sun Yat-sen UniversityState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular DiseasesState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular DiseasesAbstract 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.https://doi.org/10.1038/s41746-025-01887-6
spellingShingle Xiaoyun Chen
Jiali Liu
Hongli Liang
Zelin Chen
Zitian Liu
Yingfeng Zheng
Zhangkai Lian
Lixia Luo
Weirong Chen
Mingxing Wu
Danying Zheng
Xialin Liu
Bing Cheng
Shengsong Huang
Xinyu Zhang
Ling Jin
Yan Luo
Zhenzhen Liu
Erping Long
Patrick Yu-Wai-Man
Weishi Zheng
Kai Huang
Haotian Lin
Yizhi Liu
Digitalization of surgical features improves surgical accuracy via surgeon guidance and robotization
npj Digital Medicine
title Digitalization of surgical features improves surgical accuracy via surgeon guidance and robotization
title_full Digitalization of surgical features improves surgical accuracy via surgeon guidance and robotization
title_fullStr Digitalization of surgical features improves surgical accuracy via surgeon guidance and robotization
title_full_unstemmed Digitalization of surgical features improves surgical accuracy via surgeon guidance and robotization
title_short Digitalization of surgical features improves surgical accuracy via surgeon guidance and robotization
title_sort digitalization of surgical features improves surgical accuracy via surgeon guidance and robotization
url https://doi.org/10.1038/s41746-025-01887-6
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