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 ...

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

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 ...

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 ...

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 ...

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 ...

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 ...