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

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

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 ...

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 ...

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