Purpose Surgery is continuously subject to technological and medical innovations that are
transforming daily surgical routines. In order to gain a better understanding and description …

Surgical data science (SDS) aims to improve the quality of interventional healthcare and its
value through the capture, organization, analysis, and modeling of procedural data. As data …

Surgical workflow recognition has numerous potential medical applications, such as the
automatic indexing of surgical video databases and the optimization of real-time operating …

The fields of computer vision (CV) and artificial intelligence (AI) have undergone rapid
advancements in the past decade, many of which have been applied to the analysis of …

Surgical tool presence detection and surgical phase recognition are two fundamental yet
challenging tasks in surgical video analysis as well as very essential components in various …

Objective: State-of-the-art techniques for surgical data analysis report promising results for
automated skill assessment and action recognition. The contributions of many of these …

Automatic surgical workflow recognition is a key component for developing context-aware
computer-assisted systems in the operating theatre. Previous works either jointly modeled …

Much of the existing work on automatic classification of gestures and skill in robotic surgery
is based on dynamic cues (eg, time to completion, speed, forces, torque) or kinematic data …

Detecting tools in surgical videos is an important ingredient for context-aware computer-
assisted surgical systems. To this end, we present a new surgical tool detection dataset and …

Background In addition to its therapeutic benefits, minimally invasive surgery offers the
potential for video recording of the operation. The videos may be archived and used later for …