Recent developments in data science in general and machine learning in particular have
transformed the way experts envision the future of surgery. Surgical Data Science (SDS) is a …

Hundreds of millions of operations are performed worldwide each year, and the rising uptake
in minimally invasive surgery has enabled fiber optic cameras and robots to become both …

Simple Summary Robotic surgery has gained much attention in liver resection for its potential
to increase surgical dexterity in a minimally invasive scenario. Different series are reported …

Objective: To develop a deep learning model to automatically segment hepatocystic
anatomy and assess the criteria defining the critical view of safety (CVS) in laparoscopic …

Medical artificial intelligence (AI) has tremendous potential to advance healthcare by
supporting and contributing to the evidence-based practice of medicine, personalizing patient …

Out of all existing frameworks for surgical workflow analysis in endoscopic videos, action
triplet recognition stands out as the only one aiming to provide truly fine-grained and …

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 …

The use of digital technology is increasing rapidly across surgical specialities, yet there is no
consensus for the term ‘digital surgery’. This is critical as digital health technologies present …

Purpose Automatic segmentation and classification of surgical activity is crucial for providing
advanced support in computer-assisted interventions and autonomous functionalities in …

Context-aware decision support in the operating room can foster surgical safety and efficiency
by leveraging real-time feedback from surgical workflow analysis. Most existing works …