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 ...

In today’s edition…An international initiative aims to tackle bias in medical AI algorithms ... known or expected sources of ...

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.

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 ...

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.

One of the first medical fields to deploy AI broadly was radiology, where machine learning algorithms are used to help interpret medical images. Medical images contain enormous amounts of data.

This has prompted a review of the use of race, "a social construct," in medicine. A new study argues ... size fits all solution to designing equitable algorithms.” This evidence-based observation ...