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

Background The potential role and benefits of AI in surgery has yet to be determined. This
study is a first step in developing an AI system for minimizing adverse events and improving …

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 …

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 …

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

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

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

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

Background Artificial intelligence (AI) and computer vision (CV) have revolutionized image
analysis. In surgery, CV applications have focused on surgical phase identification in …

Purpose The rise of intraoperative information threatens to outpace our abilities to process it.
Context-aware systems, filtering information to automatically adapt to the current needs of …