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 …

The research objective of this paper is to advance knowledge about the role of artificial
intelligence (AI) in complex problem-solving. A problem is complex due to the large number …

Telesurgical robotics, as a technical solution for robot-assisted minimally invasive surgery
(RAMIS), has become the first domain within medicosurgical robotics that achieved a true …

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 …

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 …

Modern endoscopy relies on digital technology, from high-resolution imaging sensors and
displays to electronics connecting configurable illumination and actuation systems for …

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 …

Surgical skills are associated with clinical outcomes. To improve surgical skills and thereby
reduce adverse outcomes, continuous surgical training and feedback is required. Currently …

Purpose Surgical workflow and skill analysis are key technologies for the next generation of
cognitive surgical assistance systems. These systems could increase the safety of the …

Image-based navigation is widely considered the next frontier of minimally invasive surgery.
It is believed that image-based navigation will increase the access to reproducible, safe, and …