Using an algorithm they call the Krakencoder, researchers at Weill Cornell Medicine are a step closer to unraveling how the ...

Artificial intelligence (AI) and algorithmic decision-making systems — algorithms that analyze massive amounts of data and make predictions about the future ... the use of these systems in medical ...

Researcher Paige Nong interviewed officials at 13 academic medical centers last year ... helps doctors know "the ingredients used to make the algorithm." The hope is more transparency will ...

This is Part 1 of Embedded Bias, a series revealing how race-based clinical algorithms pervade medicine and why it's so difficult to change them. Pediatrician Alexandra Epee-Bounya had had enough.

When developers make algorithms, they often use “training data,” or past ... it inadvertently assumes that Black patients have fewer health care needs and therefore may require less medical attention.

Another challenge in testing medical AI is that clinical-trial results are hard to generalize to different population groups. “It’s simply a known fact that AI algorithms are very fragile when ...

The paper described how race has been used in a broad array of clinical algorithms relied upon to make medical judgments about conditions as diverse as urinary tract infections, vaginal birth ...