Artificial intelligence-based anatomy recognition in laparoscopic hepatectomy: multicentre study
Br J Surg
.
2024 Oct 1;111(10):znae254.
doi: 10.1093/bjs/znae254.
Authors
Haisu Tao
1
2
,
Baihong Li
1
2
,
Xiaojun Zeng
1
2
,
Xuanshuang Tang
3
,
Erlei Zhang
4
,
Jiang Li
5
,
Wei Cai
6
,
Yinling Qian
3
,
Jian Yang
1
2
Affiliations
1
Department of Hepatobiliary Surgery, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
2
Guangdong Provincial Clinical and Engineering Centre of Digital Medicine, Guangzhou, China.
3
Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
4
Hepatic Surgery Centre, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China.
5
Department of Hepatobiliary and Pancreatic Surgery, First Affiliated Hospital, College of Medicine, Shihezi University, Shihezi, China.
6
Department of Hepatobiliary Surgery, First Affiliated Hospital of USTC, Hefei, China.
PMID:
39400007
DOI:
10.1093/bjs/znae254
No abstract available
Publication types
Multicenter Study
Research Support, Non-U.S. Gov't
MeSH terms
Artificial Intelligence*
Female
Hepatectomy* / methods
Humans
Laparoscopy* / methods
Liver / anatomy & histology
Liver / surgery
Male
Grants and funding
82272132/National Natural Science Foundation of China
2022M721514/China Postdoctoral Science Foundation
2021A1515011869/Guangdong Basic and Applied Basic Research Foundation
2021B1515130003/Regional Joint Fund of Guangdong