A new step in painless, cut-free brain surgery is bringing international attention to Jersey Shore University Medical Center.

In 2015, scientists in Switzerland began work on what they hoped would become a revolutionary machine for organ transplants, feeding livers oxygen and nutrients to keep them alive outside the body for ...

To create their contactless approach, the researchers created a machine learning algorithm capable of analyzing aspects of ...

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 ...

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 ...

An estimated 10% of all future surgeries carried out at Maimonides Medical Center will be robot-assisted, thanks to the addition of three new-state of the-art machines in Brooklyn. The trio of Da ...

COLUMBUS, Ga. (WRBL) – Piedmont Columbus Regional is expanding its surgery-related services and invited WRBL News 3 to a mock operation using their new Davinci machine. After a five-month-long process ...

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 ...

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 ...

Many organizations invest in robotic-assisted surgery. Growing and sustaining a successful service line, however, requires a comprehensive strategy and dedicated resources at a time when hospitals and ...