Most medical algorithms were developed using information from people treated in Massachusetts, California, or New York, according to a new study. Those three states dominate patient data — and 34 ...

Artificial intelligence algorithms are everywhere in healthcare. They sort through patients’ data to predict who will develop medical conditions like heart disease or diabetes, they help doctors ...

When it comes to our health, it’s personal. That is why it is so important that the physicians we trust make decisions about our care—not machines. And yet, in many situations, artificial intelligence ...

Medical algorithms are used across the health-care spectrum to diagnose disease, offer prognoses, monitor patients’ health and assist with administrative tasks such as appointment scheduling. But the ...

Artificial intelligence (AI) and algorithmic decision-making systems — algorithms that analyze massive amounts of data and make predictions about the future — are increasingly affecting Americans’ ...

A coalition of medical experts from New York City hospitals has pledged to tackle racially biased computer algorithms that are used to diagnose diseases or decide routes of patient care. It aims to do ...

In the last decade or so, artificial intelligence has found its way into just about every technology-heavy sector of society. From music recommendation services to targeted advertising, machines ...

While it's true that “racism” has left its fingerprints over medicine, STAT recently began a new investigative series looking at racial bias baked into the clinical algorithms used by physicians. As ...

An algorithm used by major hospitals and healthcare providers misjudged how sick black patients were compared with their white counterparts, allowing healthier white patients to get additional medical ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...