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 …

Laparoscopy is an imaging technique that enables minimally-invasive procedures in various
medical disciplines including abdominal surgery, gynaecology and urology. To date …

Background In laparoscopy, the digital camera offers surgeons the opportunity to receive
support from image-guided surgery systems. Such systems require image understanding …

Computer-assisted minimally invasive surgery has great potential in benefiting modern
operating theatres. The video data streamed from the endoscope provides rich information …

In the last five years, deep learning has attracted great interest in computer-assisted systems
for Minimally Invasive Surgery. The straightforward accessibility to images in surgical …

This paper is a comprehensive survey of datasets for surgical tool detection and related
surgical data science and machine learning techniques and algorithms. The survey offers a …

The increase in chronic diseases has affected the countries' health system and economy.
With the recent COVID-19 virus, humanity has experienced a great challenge, which has led …

Introduction Complex oncological procedures pose various surgical challenges including
dissection in distinct tissue planes and preservation of vulnerable anatomical structures …

Background: Lack of anatomy recognition represents a clinically relevant risk in abdominal
surgery. Machine learning (ML) methods can help identify visible patterns and risk …