Background There is a lack of atrial fibrillation (AF) prediction models tailored for individuals without prior ...

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

Researchers have identified a neurochemical signature that sets Parkinson's disease apart from essential tremor—two of the most common movement disorders, but each linked to distinct changes in the ...

When genetic testing reveals a rare DNA mutation, doctors and patients are frequently left in the dark about what it actually means.

FIU researchers are training AI to detect heart conditions, like aortic stenosis and heart failure, by analyzing heart sound data to improve early diagnosis and risk prediction.

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...