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

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

Researchers at Pennsylvania State University examined whether machine learning could predict the risk and contributing ...

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 ...

Machine learning models showed strong predictive performance for 5-year survival in stage III colorectal cancer patients, with AUC values between 0.766 and 0.791. Key prognostic factors identified ...

For inpatients with cirrhosis, a machine learning (ML) model using random forest (RF) analysis is superior for prediction of ...

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 ...