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 ...

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

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 ...

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 ...

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 ...

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 ...

Nicole Grigorov told Newsweek she flew abroad for a "mommy makeover," but instead came frighteningly close to losing her life ...

The artificial intelligence boom is already starting to creep into the medical field through the form of AI-based visit summaries and analysis of patient conditions. Now, new research demonstrates how ...

Four million abdominal operations are performed in the United States each year, some of which may require the need for hernia repair. More than 400,000 ventral hernia repair operations are performed ...

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 ...