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 ...

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 ...

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.

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 Yale research team has created a new imaging technique that reveals the hidden connections between aging, disease, and genetic activity in human cells. Using a novel machine learning approach, the ...

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

Blood proteins can reveal the biological age of different cell types. Accelerated cellular aging was linked to a higher risk ...