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

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 …

One of the key challenges for automatic assistance is the support of actors in the operating
room depending on the status of the procedure. Therefore, context information collected in …

When developing context-aware systems, automatic surgical phase recognition and tool
presence detection are two essential tasks. There exist previous attempts to develop …

Our approach is among the three best to tackle the M2CAI Workflow challenge. The latter
consists in recognizing the operation phase for each frames of endoscopic videos. In this …

Purpose For the modeling, execution, and control of complex, non-standardized
intraoperative processes, a modeling language is needed that reflects the variability of …

New channels, new carriers continue to produce new data types, how to deal with complex
and volatile multi-source data under IoT big data environment has become an important …

With advancements in medicine and information technologies, the operating room has
undergone tremendous transformations evolving into a highly complicated and …