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

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

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 ...

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 ...

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 ...

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 ...

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 ...