Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

Researchers worked with the Federal Reserve to create a predictive model that assesses hundreds of institutional ...

For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...

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 ...

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

AI has revealed why cancer survival differs so dramatically around the world, highlighting the specific health system factors that matter most in each country.

If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to ...