MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...

Structural economic models, while parsimonious and interpretable, often exhibit poor data fit and limited forecasting performance. Machine learning models, by contrast, offer substantial flexibility ...

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

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

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 ...

Postpartum depression (PPD) affects up to 15 percent of individuals after childbirth. Early identification of patients at risk of PPD could improve proactive mental health support. Researchers ...

As financial crime grows in scale, speed, and sophistication, banks are increasingly turning to artificial intelligence, ...