Hundreds of millions of operations are performed worldwide each year, and the rising
uptake in minimally invasive surgery has enabled fiber optic cameras and robots to become …

Objective To overcome limitations of open surgery artificial intelligence (AI) models by
curating the largest collection of annotated videos and to leverage this AI-ready data set to …

Detecting surgical tools is an essential task for analyzing and evaluating surgical videos.
However, most studies focus on minimally invasive surgery (MIS) and cataract surgery …

In recent times there is a growing development of video-based applications for surgical
purposes. Part of these applications can work offline after the end of the procedure, other …

To ensure satisfactory clinical outcomes, surgical skill assessment must be objective, time-
efficient, and preferentially automated—none of which is currently achievable. Video-based …

Purpose The use of motion sensors is emerging as a means for measuring surgical
performance. Motion sensors are typically used for calculating performance metrics and …

Objective This paper focuses on simulator-based assessment of open surgery suturing skill.
We introduce a new surgical simulator designed to collect synchronized force, motion, video …

Action segmentation is a challenging task in high-level process analysis, typically performed
on video or kinematic data obtained from various sensors. This work presents two …

Purpose The goal of this work is to use multi-camera video to classify open surgery tools as
well as identify which tool is held in each hand. Multi-camera systems help prevent …

Purpose This work uses deep learning algorithms to provide automated feedback on the
suture with intracorporeal knot exercise in the fundamentals of laparoscopic surgery …