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 ...

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 ...

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. As a leader in the ...

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 ...

Last year we learned of an interesting medical device that could play a significant role in expanding access to MRI imaging, by literally placing the technology on wheels. This world-first portable ...

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 ...

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 ...

Part of the upgrade Riverside Health System recently made to its Leksell Gamma Knife, a noninvasive radiosurgery machine that attacks brain tumors, had to be done in the dead of night. “They have to ...