Deep learning, or machine learning (ML), has profound implications in surgery due to its
potential for predicting operative outcomes. The use of ML to identify novel risk factors …

Deep learning (DL) is a subset of machine learning that is rapidly gaining traction in surgical
fields. Its tremendous capacity for powerful data-driven problem-solving has generated …

Deep learning (DL) is a subset of machine learning that is rapidly gaining traction in surgical
fields. Its tremendous capacity for powerful data-driven problem-solving has generated …

Deep neural networks power most recent successes of artificial intelligence, spanning from
self-driving cars to computer aided diagnosis in radiology and pathology. The high-stake …

The Norwood surgical procedure restores functional systemic circulation in neonatal
patients with single ventricle congenital heart defects, but this complex procedure carries a …

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 …

Artificial intelligence (AI) focuses on processing and interpreting complex information as well
as identifying relationships and patterns among complex data. Artificial intelligence-and …

Artificial intelligence (AI) is a broad field that seeks to create software capable of gathering
information and responding in a goal-directed manner, behaving as if it were an intelligent …

Minimally invasive surgery is highly operator dependant with a lengthy procedural time
causing fatigue to surgeon and risks to patients such as injury to organs, infection, bleeding …

Aim: Artificial intelligence (AI) is rapidly evolving in healthcare worldwide, especially in
surgery. This article reviews important terms used in machine learning and the challenges of …