Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in millions of patients with obstructive sleep apnea, a serious sleep disorder ...

Two complementary predictors (DAAE-M and ELIE) estimate individualized 5-year progression risk using routine clinical data, extending the prior DAAE framework beyond static baseline risk. Registry ...

Artificial intelligence (AI) refers to computer systems designed to perform tasks that require human intelligence, while machine learning (ML) is used to learn patterns from data and subsequently ...

In a recent study published in the journal Communications Medicine, a group of researchers developed and validated scalable machine learning models that predict 12-month Mini-Mental State Examination ...

Researchers developed a new model to predict the likelihood of critical illness in patients with connective-tissue disease-associated ILD.

A machine learning (ML)-based model may aid in-hospital community-acquired pneumonia (CAP) mortality prediction, according to study findings published in Respiratory Medicine. Res ...

Worcester Polytechnic Institute (WPI) researchers have used a form of artificial intelligence (AI) to analyze anatomical changes in the brain and predict Alzheimer’s disease with nearly 93% accuracy.

A new study reveals how AI analyzes routine retinal eye photos to predict Alzheimer’s lifestyle and biological risk factors ...