Find out how machine learning identifies country-specific health system drivers shaping global cancer survival and highlights ...

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

An AI model using deep transfer learning—the most advanced form of machine learning—has predicted spoken language outcomes ...

A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

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

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

Researchers have turned artificial intelligence into a powerful new lens for understanding why cancer survival rates differ ...

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

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