The NHS in England plans to significantly expand robotic surgery, projecting an increase from 70,000 procedures last year to around 500,000 in the next decade.

An interdisciplinary fellowship with the Data Science Institute has resulted in a promising machine-learning technology that can effectively track complex surgical activity, thus having the ...

The robot performed part of a gallbladder removal on a life-like patient with the expertise of a skilled human surgeon ...

By harnessing the power of data and machine learning, AI-powered technologies are revolutionizing the field of robotic surgeries, leading to enhanced accuracy, precision, and efficiency, all while ...

What is machine learning? Karen Hao Machine-learning algorithms are responsible for the vast majority of the artificial intelligence advancements and applications you hear about.

To clear things up, I drew you this flowchart on the back of an envelope so you can work out whether something is using AI or not. This originally appeared in our AI newsletter The Algorithm.

The field of surgical robotics is evolving at a rapid pace, revolutionizing the way surgeries are performed and setting new standards for precision, efficiency and patient outcomes.

With machine learning, Activ Surgical's autonomous model can annotate a one-hour surgical video 20,000 times faster than humans can.

AI-powered robotic surgery is at the forefront of a new era in healthcare. By pushing the boundaries of what’s possible in minimally invasive procedures, AI can enable more precise, efficient ...

The ability to apply machine learning & analytical algorithms on volumes of data in a scalable way enables quicker response for any future pandemic. (File) BLK-Max Super Speciality Hospital on ...

Tweet this “Step-by-step automatic recognition is an extremely useful tool for robotic assisted surgeries (RAS),” said Ron Soferman, CEO of RSIP Vision.