Algorithms in clinical decision tools have been making it harder for certain racial and socioeconomic groups to receive the healthcare they deserve.

AI is increasingly finding its way into healthcare decisions, from diagnostics to treatment decisions to robotic surgery. As I’ve written about in this newsletter many times, AI is sweeping the ...

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 ...

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 ...

The Doris Duke Charitable Foundation awarded more than $10 million in grant money to five medical organizations last month to study and address the “potentially dangerous” consequences of race misuse ...

It’s one thing to develop a medical algorithm, quite another to prove that it actually works. To do that, you need one crucial thing that’s hard to come by: medical data. And one startup is ready to ...

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 ...

New York City announced a recent effort to end race adjustments in clinical algorithms used by the city's hospitals. Experts say these adjustments perpetuate racist assumptions in healthcare and can ...

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 ...