Findings from a new study published in Annals of Family Medicine show that a machine learning model accurately predicts ...

This study examined whether machine learning could predict the risk and contributing factors of no-shows and late ...

A machine learning model bests traditional methods for predicting cirrhosis mortality among hospitalized patients.

A machine learning model developed to predict 5-year survival in stage III colorectal cancer patients highlights key ...

Artificial Intelligence (AI) is transforming credit risk modeling by offering methods and tools that serve as a complement - or even an alternative - to ...

This study examined whether machine learning could predict the risk and contributing factors of no-shows and late cancellations ...

Predicting who might die while in the hospital is one of the hardest challenges for doctors caring for people with serious liver disease.

An accompanying episode of the Annals of Family Medicine Podcast, featuring study authors Ann Sinéad Doherty, PhD, and Emma ...