Background Automatic surgical workflow recognition is a key component for developing the
context-aware computer-assisted surgery (CA-CAS) systems. However, automatic surgical …

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

Automatic surgical phase recognition is a challenging and crucial task with the potential to
improve patient safety and become an integral part of intra-operative decision-support …

Real-time algorithms for automatically recognizing surgical phases are needed to develop
systems that can provide assistance to surgeons, enable better management of operating …

Background Identifying laparoscopic surgical videos using artificial intelligence (AI)
facilitates the automation of several currently time-consuming manual processes, including …

Background Artificial intelligence and computer vision have revolutionized laparoscopic
surgical video analysis. However, there is no multi-center study focused on deep learning …

Objective: To provide an overview of ML models and data streams utilized for automated
surgical phase recognition. Background: Phase recognition identifies different steps and …

Purpose Surgical workflow and skill analysis are key technologies for the next generation of
cognitive surgical assistance systems. These systems could increase the safety of the …

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 …

Automatic surgical phase recognition plays a vital role in robot-assisted surgeries. Existing
methods ignored a pivotal problem that surgical phases should be classified by learning …