A deep strain is running through hospitals around the country. There are not enough surgeons, and the shortage is growing. Long hours, rising burnout and years of training have made it harder to keep ...

Initial clinical studies with small groups of patients have shown that the critical anterior capsulotomy parameters of size, shape, and position could be precisely and predictably created with the ...

Artificial intelligence (AI), defined as algorithms that enable machines to perform cognitive functions (such as problem solving and decision-making), has changed for some time now the face of ...

Please provide your email address to receive an email when new articles are posted on . A machine learning model may identify patients’ risk for persistent opioid use after hand surgery. Machine ...

Several members of the UAB General Surgery Residency Program were selected to participate in the Learning Community (LC) Housestaff Program. "We are exceptionally proud of each resident selected as a ...

MECHANICSVILLE, Va. — Students are performing surgery at Pole Green Elementary School. "We're reviewing decimals to wrap our unit”, says teacher Hayley Krevonik, “so just to kind of make things more ...

Please provide your email address to receive an email when new articles are posted on . A machine learning-based model more accurately predicted mortality after cardiac surgery than population-based ...

And, before that, Krieger's Smart Tissue Autonomous Robot, STAR, performed the first autonomous robot surgery on a live animal – a laparoscopic surgery on a pig – in 2022. But it was much more heavily ...

Researchers at Johns Hopkins University are leveraging the power of machine learning to improve X-ray-guided pelvic fracture surgery, an operation to treat an injury commonly sustained during car ...

A machine learning-based model that enables medical institutions to predict the mortality risk for individual cardiac surgery patients has been developed by a Mount Sinai research team, providing a ...