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

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

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

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 ...

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

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

A collaborative approach to training AI models can yield better results, but it requires finding partners with data that ...

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