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 …

Background In the past decade, deep learning has revolutionized medical image
processing. This technique may advance laparoscopic surgery. Study objective was to …

Automatic surgical phase recognition is a challenging and crucial task with the potential to
improve patient safety and become an integral part of intra-operative decision-support …

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 …

Data-driven computational approaches have evolved to enable extraction of information
from medical images with reliability, accuracy, and speed, which is already transforming …

Purpose The aim of this review was to collate current evidence wherein digitalisation,
through the incorporation of video technology and artificial intelligence (AI), is being applied …

Based on high quality surgery and scientific data, scientists and surgeons are committed to
protecting patients as well as healthcare staff and hereby provide this Guidance to address …

Background. Artificial intelligence (AI) is an era upcoming in medicine and, more recently, in
the operating room (OR). Existing literature elaborates mainly on the future possibilities and …

Background: Artificial intelligence (AI) has recently achieved considerable success in
different domains including medical applications. Although current advances are expected …

Cyber-physical systems revolve around context awareness, empowering objective-oriented
services, products and operations based on real data. Self-aware and self-control systems …