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

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases ...

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 ...

AEquity aims to improve training for healthcare machine-learning algorithms by assessing the accuracy and fairness of the ...

(NASDAQ: BEAT), a medical technology company focused on transforming cardiac care by providing powerful personalized insights ...

Artificial intelligence relies on machine learning algorithms trained on massive datasets to make predictions—think of how ...

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases ...

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.