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

New machine learning models developed by University of South Australia (UniSA) researchers could help clinicians identify when patients can successfully stop long-term antidepressant use.

Debate continues over the role of artificial intelligence in treating mental health conditions, but new research shows that ...

The symbiotic relationship between machine learning and chemistry holds the promise of unlocking insights and accelerating research that was once unimaginable.

Simple patient screening questionnaires addressing five different health-related social needs performed better than advanced machine learning methods at tracking HRSNs ...

GeneDx (Nasdaq: WGS), a leader in delivering improved health outcomes through genomic insights, today announced the ...

Video analysis, paired with pose estimation techniques, has become a vital tool in understanding human movement and biomechanics. These technologies use computer vision and machine learning algorithms ...

A machine learning model enhances treatment decisions for hepatocellular carcinoma, optimizing survival outcomes through ...

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

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