Unraveling an Artificial Intelligence Mystery (w/ Dr. Leo Celi of MIT Critical Data)

This week on the Paytient Podcast, we're thrilled to welcome Dr. Leo Celi to the show.

Dr. Celi is a principal research scientist in IMES at MIT and an associate professor of medicine at Harvard Medical School. He was involved in a recent study published in Lancet Digital Health that focused on AI recognition of a patient's race based on medical imaging.

The team found that AI was able to accurately predict the self-reported race of patients from medical imaging alone, even though the images contained no mention of the patient's race. Dr. Celi discusses the mystery surrounding this study — nobody is quite sure how the model was able to do this — and the implications of AI and potential bias in the health and benefits space.

If you'd like to connect with Dr. Celi and learn more about his research, you can follow MIT Critical Data on Twitter, LinkedIn, and Facebook.

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