A multi-camera, multi-view system for training and skill assessment for robot-assisted surgery.

Alaa Eldin Abdelaal Apeksha AvinashMegha KaliaGregory D HagerSeptimiu E Salcudean

Published in: International journal of computer assisted radiology and surgery (2020)

A multi-camera, multi-view system has the potential to significantly improve training and moderately improve skill assessment in robot-assisted surgery. One application of our work is to include an additional camera view in existing virtual reality surgical training simulators to realize its benefits in training. The views from the additional intracorporeal camera can also be used to improve on existing surgical skill assessment criteria used in training systems for robot-assisted surgery.

Keyphrases

robot assisted
minimally invasive
virtual reality
coronary artery bypass
high speed
convolutional neural network
surgical site infection
machine learning
risk assessment
high resolution