Evaluation of surgical complexity by automated surgical process recognition in robotic distal gastrectomy using artificial intelligence.

ABSTRACT:

Background

Although radical gastrectomy with lymph node dissection is the standard treatment for gastric cancer, the complication rate remains high. Thus, estimation of surgical complexity is required for safety. We aim to investigate the association between the surgical process and complexity, such as a risk of complications in robotic distal gastrectomy (RDG), to establish an artificial intelligence (AI)-based automated surgical phase recognition by analyzing robotic surgical videos, and to investigate the predictability of surgical complexity by AI.

Method

This study assessed clinical data and robotic surgical videos for 56 patients who underwent RDG for gastric cancer. We investigated (1) the relationship between surgical complexity and perioperative factors (patient cha

SUBMITTER: Takeuchi M 

PROVIDER: S-EPMC9949687 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature