Purpose Real-time surgical workflow analysis has been a key component for computer-
assisted intervention system to improve cognitive assistance. Most existing methods solely …

Automatic surgical workflow analysis, which aims to recognize the ongoing surgical events
in videos, is fundamental for developing context-aware computer-assisted systems. This …

Recent advancements in surgical computer vision have been driven by vision-only models,
which lack language semantics, relying on manually annotated videos to predict fixed object …

Purpose Laparoscopic sacrocolpopexy is the gold standard procedure for the management
of vaginal vault prolapse. Studying surgical skills and different approaches to this procedure …

Background Machine learning and robotics technologies are increasingly being used in the
healthcare domain to improve the quality and efficiency of surgeries and to address …

Purpose Surgical workflow estimation techniques aim to divide a surgical video into
temporal segments based on predefined surgical actions or objectives, which can be of …

Surgical workflow anticipation is an essential task for computer-assisted intervention (CAI)
systems. It aims at predicting the future surgical phase and instrument occurrence, providing …

Computer-assisted cognition guidance for surgical robotics by computer vision is a potential
future outcome, which could facilitate the surgery for both operation accuracy and autonomy …

Surgical video-language pretraining (VLP) faces unique challenges due to the knowledge
domain gap and the scarcity of multi-modal data. This study aims to bridge the gap by …

The surgical operating room (OR) presents many opportunities for automation and
optimisation. Videos from various sources in the OR are becoming increasingly available …