With an ever-increasing volume of electronic data being collected by the healthcare system, researchers are exploring the use of machine learning—a subfield of artificial intelligence—to improve ...

A deep strain is running through hospitals around the country. There are not enough surgeons, and the shortage is growing.

Health First surgeon Dr. Marshall Bovelsky believes informed patients make the best decisions, and that honest conversations ...

A group of doctors have begun training which will allow them to use robotic equipment to carry out surgery. They have been learning how to use the multi-million pound Da Vinci robotic surgery machine ...

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 ...

Researchers at Thomas Jefferson University have developed an automated machine learning (AutoML) model that can accurately ...

A continuous passive motion (CPM) machine allows for movement of the joints after surgery. A person may use a CPM machine after undergoing surgery on joints such as the knee or hip. Some people may ...

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 ...

With an ever-increasing volume of electronic data being collected by the healthcare system, researchers are exploring the use of machine learning -- a subfield of artificial intelligence -- to improve ...

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 ...

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 ...