Background Technical skill assessment in surgery relies on expert opinion. Therefore, it is
time-consuming, costly, and often lacks objectivity. Analysis of intraoperative data by artificial …

Background Quality of surgery has substantial impact on both short-and long-term clinical
outcomes. This stresses the need for objective surgical quality assessment (SQA) for …

Purpose: Surgical performance is critical for clinical outcomes. We present a novel machine
learning (ML) method of processing automated performance metrics (APMs) to evaluate …

Purpose We explore and validate objective surgeon performance metrics using a novel
recorder (“dVLogger”) to directly capture surgeon manipulations on the da Vinci® Surgical …

Objectives To evaluate automated performance metrics (APMs) and clinical data of experts
and super‐experts for four cardinal steps of robot‐assisted radical prostatectomy (RARP) …

Purpose We sought to develop and validate automated performance metrics to measure
surgeon performance of vesicourethral anastomosis during robotic assisted radical …

Background and objective Different training programs have been developed to improve
trainee outcomes in urology. However, evidence on the optimal training methodology is …

This recent literature analysis suggests that there is an urgent need to develop and validate
new structured training curricula for robotic surgery. This allows to improve the skills of the …

Background There is a need to standardize training in robotic surgery, including objective
assessment for accreditation. This systematic review aimed to identify objective tools for …

Purpose To develop and validate an automated assessment of surgical performance (AASP)
system for objective and computerized assessment of pelvic lymph node dissection (PLND) …