Automated surgical workflow recognition in privacy-preserving depth videos of the operating room.

ABSTRACT:

Background

Efficient operating room (OR) workflows have the potential to reduce delays and cancellations, shorten patient waiting lists, and improve satisfaction among patients and staff. Insights for OR efficiency can be extracted from the registration and timing of workflow steps. However, manual registration of these steps is often unreliable. Therefore, we propose to recognize the OR workflow automatically in videos from overhead depth cameras using deep learning. In contrast to regular cameras, depth cameras do not capture fine video details that permit identification of the people recorded. Hence, the privacy of patients and staff is preserved.

Methods

We gathered a video dataset of 21 laparoscopic surgeries captured by three depth cameras positioned in different corne

SUBMITTER: Gerats BGA 

PROVIDER: S-EPMC12408783 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature