Development of a machine learning-based tension measurement method in robotic surgery.
Journal:
Surgical endoscopy
PMID:
40116899
Abstract
BACKGROUND: Over 300,000 colorectal surgeries are performed annually in the U.S. with up to 10% complicated by anastomotic leaks, which cause significant morbidity and mortality. Despite its significant association with anastomotic leaks, tension is predominantly assessed intraoperatively using subjective metrics. This study aims to assess the feasibility of a novel objective method to assess mechanical tension in ex vivo porcine colons.