The most popular data are vital signs, which include such things as blood pressure, heart rate, respiration rate, temperature, oxygen saturation and so forth. Often these data are fed into the EHR ...

We developed two algorithms to identify patients with stomach, lung, colorectal, breast, and cervical cancers: diagnosis only (algorithm 1), and combining diagnosis, treatments, and medicines ...

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 ...

New research published Thursday attempts to shed light on these questions. Four peer-reviewed studies, appearing in the journals Science and Nature, are the first results of a long-awaited, repeatedly ...

An algorithm commonly used by hospitals and other health systems to predict which patients are most likely to need follow-up care classified white patients overall as being more ill than black ...

It was a win-win. Hospitals needed to prevent patient deaths from sepsis, a complication of infection; and Epic, the nation’s largest seller of medical records, needed users for its new product — an ...

A new study conducted by the Computational Social Science Lab (CSSLab) at the University of Pennsylvania sheds light on a pressing question: Does YouTube's algorithm radicalize young Americans?

Our daily lives are run by algorithms. Whether we’re shopping online, deciding what to watch, booking a flight, or just trying to get across town, artificial intelligence is involved. It’s safe to say ...

People may be biased, even without realizing it, but computer programs shouldn’t have any reason to discriminate against black patients when predicting their healthcare needs. Right? Wrong, new ...

A recent study published in Science Magazine found significant racial bias in an algorithm used by hospitals across the nation to determine who needs follow-up care and who does not. Shraddha ...