An algorithm used to inform healthcare decisions for millions of people shows significant racial bias in its predictions of the health risks of black patients.

An AI-powered algorithm that sifts through data from multiple sources may help doctors quickly and accurately diagnose an ...

The algorithm would never know what page you were on, and during a mound visit, you could just tell your pitcher to start on a new page. “The pages code definitely stretches what Excel or a ...

Using a remotely-delivered, algorithm-driven program for disease management, patients experienced significant improvement in cholesterol and blood pressure levels, according to late-breaking ...

From predicting who will be a repeat offender to who’s the best candidate for a job, computer algorithms are now making complex decisions in lieu of humans. But increasingly, many of these algorithms ...

The study’s authors then retrained a new algorithm using patients’ biological data, rather than the insurance claims data that the original program used, and found an 84% reduction in bias ...

Can a computer program save more children from abuse and neglect? The hope is that an algorithm can help predict that a child is in a dangerous situation.

For those who completed the program, there was a mean 70 mg/dL reduction in LDL, representing a 50% reduction from baseline to program exit (P < .0001), Blood said.

A new automated computer algorithm for the diagnosis of epilepsy from electroencephalogram (EEG) readings ― developed by analyzing multiple expert opinions on thousands of such readings ― has ...

U of Texas at Austin has stopped using a machine-learning system to evaluate applicants for its Ph.D. in computer science. Critics say the system exacerbates existing inequality in the field.