The accuracy of machine learning algorithms for predicting suicidal behavior is too low to be useful for screening or for ...

A recent joint study between Linköping University and the Department of Forensic Genetics and Forensic Toxicology of the ...

A new machine learning model developed by The George Institute for Global Health can successfully predict heart disease risk ...

Overview: AI in healthcare empowers professionals, improving diagnostics, treatment, and efficiency through data-driven ...

For pregnant women, ultrasounds are an informative (and sometimes necessary) procedure. They typically produce ...

Powered Eye Scan Predicts Dementia Risk Years Before Symptoms: Study FindsA recent study led by researchers from the Yong Loo ...

Two-for-one' screening could help detect leading killers of women worldwideA new machine learning model developed by The ...

Understanding machine learning modifies cold atmospheric plasma medicine delivery in cancer treatments without being trained on detailed plasma parameters.

A new machine learning model developed by The George Institute for Global Health can successfully predict heart disease risk in women by analysing mammograms. The findings were published today in ...

From triage algorithms to digital twins, artificial intelligence is reshaping emergency care, delivering faster decisions, ...

Metals, particularly nickel and vanadium, and sulfate particles are the components of fine particulate air pollution (PM2.5) ...

A modified large language model called Delphi-2M analyses a person’s medical records and lifestyle to provide risk estimates ...