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 ...

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 ...

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 ...

Sep. 21—The operating room staff at the Lake Cumberland Regional Hospital works like a well-oiled machine — literally and figuratively. On Tuesday, the hospital celebrated the completion of 1,000 ...

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 ...

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 ...

A promising new weight-loss procedure may be a safe and effective way to help people who want to lose 40 pounds or more, but want to avoid drastic obesity surgery. The innovative, surgery-free method ...

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 ...

GREENVILLE, N.C. (WNCT) — ECU Health gave WNCT a look at a new machine used for retinal and cataract surgery. The machine is called Unity VCS and Dr. Ann Ostrovsky with ECU Health said that this is 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 ...

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 ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...