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

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, if you need an operation, you go to a hospital. The Open Surgery Machine imagines a future in which getting an appendectomy is as DIY as downloading a template from Thingsverse and firing up ...

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 ...

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 ...

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 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 model may identify patients’ risk for persistent opioid use after hand surgery. Machine ...

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 ...

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 ...