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 …

Intraoperative fluorescent imaging can provide real-time identification of tumours, lymph
nodes, nerves and other healthy and malignant tissues during oncological surgery …

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 …

Technology has advanced surgery, especially minimally invasive surgery (MIS), including
laparoscopic surgery and robotic surgery. It has led to an increase in the number of …

Surgical data science (SDS) aims to improve the quality of interventional healthcare and its
value through the capture, organization, analysis, and modeling of procedural data. As data …

Background Many surgical adverse events, such as bile duct injuries during laparoscopic
cholecystectomy (LC), occur due to errors in visual perception and judgment. Artificial …

Annotation of surgical video is important for establishing ground truth in surgical data
science endeavors that involve computer vision. With the growth of the field over the last …

BACKGROUND: Artificial intelligence (AI) applications aiming to support surgical decision-
making processes are generating novel threats to ethical surgical care. To understand and …

The prediction of anatomical structures within the surgical field by artificial intelligence (AI) is
expected to support surgeons' experience and cognitive skills. We aimed to develop a deep …