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

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Manage episode 343140560 series 3324979
Contenuto fornito da Paytient. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Paytient o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

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.
**
Have questions or comments? Email us at
podcast@paytient.com!
For more information on Paytient and how we can help your team better access and afford healthcare,
click here.

  continue reading

36 episodi

Artwork
iconCondividi
 
Manage episode 343140560 series 3324979
Contenuto fornito da Paytient. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Paytient o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

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.
**
Have questions or comments? Email us at
podcast@paytient.com!
For more information on Paytient and how we can help your team better access and afford healthcare,
click here.

  continue reading

36 episodi

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