An automated machine learning program has been able to identify potential cardiovascular incidents or fall and fracture risks based on bone density scans taken during routine clinical testing. An ...
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 ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
For the past decade, Eko Health has been advancing the use of artificial intelligence to help providers detect the early signs of disease, particularly heart and lung conditions, during routine ...
SANTA CLARA, Calif.--(BUSINESS WIRE)--HeartBeam, Inc. (NASDAQ: BEAT), a medical technology company focused on transforming cardiac care through the power of personalized insights, today announced new ...
Researchers from New York City-based Mount Sinai have developed an AI algorithm to help physicians identify patients with hypertrophic cardiomyopathy by assigning a numeric probability risk assessment ...
Cold weather can pose unique risks for cardiovascular health, including an increased risk of having a heart attack according to a recent study published in the Journal of the American College of ...
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