Accurate and objective performance assessment is essential for both trainees and certified
surgeons. However, existing methods can be time consuming, labor intensive, and subject …

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 …

Introduction Robot-assisted laparoscopy is a safe surgical approach with several studies
suggesting correlations between complication rates and the surgeon's technical skills …

The ability to automatically detect and track surgical instruments in endoscopic videos can
enable transformational interventions. Assessing surgical performance and efficiency …

Surgical data science is revolutionizing minimally invasive surgery by enabling context-
aware applications. However, many challenges exist around surgical data (and health data …

Surgical training relies on subjective feedback on resident technical performance by
attending surgeons. A novel data recorder connected to a robotic-assisted surgical platform …

Introduction: Machine learning methods have emerged as objective tools to evaluate
operative performance in urological procedures. Our objectives were to establish machine …

Background Surgical action recognition is an essential technology in context-aware-based
autonomous surgery, whereas the accuracy is limited by clinical dataset scale. Leveraging …

Background The increased digitization in robotic surgical procedures today enables
surgeons to quantify their movements through data captured directly from the robotic system …

This study aims to discuss the principles and pillars of robotic colorectal surgery training and
share the training pathway at Portsmouth Hospitals University NHS Trust. A narrative review …