IEEE Spectrum on MSN
Machine learning system monitors patient pain during surgery
To create their contactless approach, the researchers created a machine learning algorithm capable of analyzing aspects of ...
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 ...
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 ...
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 ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
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 ...
MANITOWOC – Aurora Medical Center - Manitowoc County is moving into the techy future. The hospital recently expanded its surgical services area and in November welcomed the arrival of a new DaVinci ...
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 ...
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