Modern endoscopy relies on digital technology, from high-resolution imaging sensors and
displays to electronics connecting configurable illumination and actuation systems for …

Objective: In the last two decades, there has been a growing interest in exploring surgical
procedures with statistical models to analyze operations at different semantic levels. This …

Background Operative courses of laparoscopic cholecystectomies vary widely due to
differing pathologies. Efforts to assess intra-operative difficulty include the Parkland grading …

Analysis of relations between objects and comprehension of abstract concepts in the
surgical video is important in AI-augmented surgery. However, building models that …

Surgical workflow anticipation is an essential task for computer-assisted intervention (CAI)
systems. It aims at predicting the future surgical phase and instrument occurrence, providing …

Purpose We propose a formal framework for the modeling and segmentation of minimally
invasive surgical tasks using a unified set of motion primitives (MPs) to enable more …

This study aims to explore the integration of Internet of Things (IoT) technology and artificial
intelligence (AI) in art education, assessing its impact on learners' experiences and learning …

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

Surgical workflow analysis integrates perception, comprehension, and prediction of the
surgical workflow, which helps real-time surgical support systems provide proper guidance …

Temporally locating and classifying instruments in surgical video is useful for the analysis
and comparison of surgical techniques. This paper aims to apply action segmentation …