For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...
AI has revealed why cancer survival differs so dramatically around the world, highlighting the specific health system factors that matter most in each country.
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 worked with the Federal Reserve to create a predictive model that assesses hundreds of institutional ...
The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the ...
The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...
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