Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.

Among patients with chronic noncancer pain, a novel machine learning model effectively predicts opioid use disorder risk.

Medical researchers at Mass General Brigham say the self-supervised foundational model can identify inherent features from ...

A machine learning model trained on EEG data from patients recovering from strokes helps predict how new patients will regain ...

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

Cardiovascular disease continues to be the leading cause of death worldwide. To save lives, constantly improving diagnostic ...

Scientists have created an AI model that forecasts moderate heat stress—a major precursor to coral bleaching—at sites along ...

Scientists have created an AI model that forecasts moderate heat stress — a major precursor to coral bleaching — at sites ...

In a study published in npj Digital Medicine, a team of researchers led by the University of Michigan developed a machine learning model that identified 17 environmental and social factors that can ...

BrainIAC, a breakthrough AI foundation model, is able to predict brain age, dementia, time-to-stroke, and brain cancer from brain magnetic resonance imaging (MRI).

Scientists have created an AI model that forecasts moderate heat stress — a major precursor to coral bleaching — at sites ...