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 …

Research into medical artificial intelligence (AI) has made significant advances in recent
years, including surgical applications. This scoping review investigated AI-based decision …

The exponential increase in the volume and complexity of healthcare data presents new
challenges to researchers and clinicians in analysis and interpretation. The requirement for …

Computer-aided diagnosis of cancer based on endoscopic image analysis is a promising
area in the field of computer vision and machine learning. Convolutional neural networks …

This work focuses on classifying different organs like the uterus, ovary, oviduct, liver, and
colon as well as various surgical instruments such as bipolar, scissors and grasper with the …

The 21 st century has started with several innovations in the medical sciences, with wide
applications in health care management. This development has taken in the field of …

Background Ureteral injury is common during gynaecological laparoscopic surgery. Real‐
time auto‐segmentation can assist gynaecologists in identifying the ureter and reduce …

Abstract Surgical Data Science (SDS) represents a rapidly advancing domain at the
intersection of clinical surgery and data science, aimed at enhancing surgical practices …

Nowadays, with the current technological forces that have been shaping our bright future,
one of these is Computer Vision. This statement is true across various matters, including …