Artificial intelligence model for perigastric blood vessel recognition during laparoscopic radical gastrectomy with D2 lymphadenectomy in locally advanced gastric cancer
The model recognized the perigastric blood vessels with satisfactory predictive value in the test set and performed well in the dynamic videos. It therefore shows promise with regard to increasing safety and decreasing accidental bleeding during laparoscopic gastrectomy.
Authors
- Yequan Xie (ORCID: https://orcid.org/0009-0002-9774-2504)
- Fanghai Han (ORCID: https://orcid.org/0000-0002-5587-4827)
- Guanjian Chen
- Lin Zhong (ORCID: https://orcid.org/0000-0002-7698-8516)
- Jianan Tan
- Guangyu Zhong
- Bin Yang (ORCID: https://orcid.org/0009-0006-7583-7712)
- Shengning Zhou
Institutions
- Sun Yat-sen University (CN)
- Sun Yat-sen Memorial Hospital (CN)
Publication Details
- Journal
- BJS Open
- Published
- 2024-12-30
- DOI
- https://doi.org/10.1093/bjsopen/zrae158
- Citations
- 8
- Primary Topic
- Gastric Cancer Management and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 3.35
Funders
- National Natural Science Foundation of China
- Basic and Applied Basic Research Foundation of Guangdong Province