Background Early introduction and distributed learning have been shown to improve student
comfort with basic requisite suturing skills. The need for more frequent and directed …

Background Surgical video contains data with significant potential to improve surgical
outcome assessment, quality assurance, education, and research. Current utilisation of …

Purpose Most studies on surgical activity recognition utilizing artificial intelligence (AI) have
focused mainly on recognizing one type of activity from small and mono-centric surgical …

The surgical operating room (OR) presents many opportunities for automation and
optimisation. Videos from various sources in the OR are becoming increasingly available …

Introduction Sleeve gastrectomy (SG) is the most common metabolic and bariatric procedure
performed. Leveraging artificial intelligence (AI) for automated real-time data structuring and …

Background Surgical phase recognition using computer vision presents an essential
requirement for artificial intelligence-assisted analysis of surgical workflow. Its performance …

Recent advancements in surgical computer vision applications have been driven by fully-
supervised methods, primarily using only visual data. These methods rely on manually …

In this study, we propose a deep learning framework and a self-supervision scheme for
video-based surgical gesture recognition. The proposed framework is modular. First, a 3D …

Autonomous robotic surgery has advanced significantly based on analysis of visual and
temporal cues in surgical workflow, but relational cues from domain knowledge remain …

Artificial intelligence (AI) can aid endoscopic and surgical procedures in various ways, such
as detecting and diagnosing gastrointestinal lesions, assisting in procedures, recognizing …