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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Machine learning models accurately predict survival after surgery for upper tract urothelial cancer, supporting personalised follow up and adjuvant treatment decisions.

Announcing a new article publication for Cardiovascular Innovations and Applications journal. Cardiac surgery-associated acute kidney injury (CSA-AKI) is a major complication that increases morbidity ...

A machine learning algorithm performs well in predicting the risk of persistent opioid use after hand surgery, reports a study in the August issue of Plastic and Reconstructive Surgery. "We found that ...