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

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

As new technologies emerge and extend the capabilities of physicians, researchers and scientists, the landscape of healthcare is also bound to change. One such example is machine learning, in which a ...

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

Background Cardiovascular risk is underassessed in women. Many women undergo screening mammography in midlife when the risk ...

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

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

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

The symbiotic relationship between machine learning and chemistry holds the promise of unlocking insights and accelerating ...