Machine learning-based Automatic Evaluation of Tissue Handling Skills in Laparoscopic Colorectal Surgery: A Retrospective Experimental Study.

Shoma SasakiDaichi KitaguchiShin TakenakaKei NakajimaKimimasa SasakiTateo OganeNobuyoshi TakeshitaNaoto GotohdaMasaaki Ito

Published in: Annals of surgery (2022)

We developed a machine learning model to measure blood pixels in laparoscopic colorectal surgery images using RGB information. The blood pixel count per frame measured with this model significantly correlated with surgeons' tissue handling skills.

Keyphrases

machine learning
deep learning
robot assisted
artificial intelligence
big data
medical students
convolutional neural network
healthcare
quality improvement
optical coherence tomography
peripheral blood
minimally invasive