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AI in Laparoscopic Surgery Phase Recognition by 周亚 is a document available to read on EtoBox.

This study explores the use of artificial intelligence (AI) for automated surgical phase recognition in laparoscopic pancreatoduodenectomy (LPD) using intraoperative videos. Two AI models were developed, achieving mean average precision (mAP) of 89.7% for key phases and 84.7% for necessary phases in the training set, with performance dropping in cases with anatomical variations. The findings suggest that AI could significantly aid surgical education and potentially shorten the learning curve for complex sur

Author

周亚

Language

EN