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

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 ...

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 ...

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

The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...

A urosepsis prediction model based on 6 factors demonstrated strong performance among a Chinese cohort. A large-scale study of 33,579 urinary stones from Southern China, published in the International ...