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 ...

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 ...

The field of artificial intelligence (AI) is now revolutionizing the medical sector, particularly in the discovery of new antibiotics. Thanks to AI, new antibiotics have been discovered in a fraction ...

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

Besides building analytical solutions for a large-scale organization, Sree Hari Subhash, an international IT expert, has ...

Gynecological cancers, including breast, ovarian, and cervical malignancies, account for a significant global health burden among women. The review outlines how a spectrum of machine learning (ML) ...

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

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