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

We propose an analysis of surgical videos that is based on a novel recurrent convolutional
network (SV-RCNet), specifically for automatic workflow recognition from surgical videos …

Real-time surgical phase recognition is a fundamental task in modern operating rooms.
Previous works tackle this task relying on architectures arranged in spatio-temporal order …

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 …

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 …

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

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 …

In this paper, we contribute to the development of context-aware operating rooms by
introducing a novel approach to modeling and monitoring the workflow of surgical …