Artwork

Conteúdo fornecido por Paytient. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Paytient ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.
Player FM - Aplicativo de podcast
Fique off-line com o app Player FM !

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

46:54
 
Compartilhar
 

Manage episode 343140560 series 3324979
Conteúdo fornecido por Paytient. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Paytient ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.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 episódios

Artwork
iconCompartilhar
 
Manage episode 343140560 series 3324979
Conteúdo fornecido por Paytient. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Paytient ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.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 episódios

Tutti gli episodi

×
 
Loading …

Bem vindo ao Player FM!

O Player FM procura na web por podcasts de alta qualidade para você curtir agora mesmo. É o melhor app de podcast e funciona no Android, iPhone e web. Inscreva-se para sincronizar as assinaturas entre os dispositivos.

 

Guia rápido de referências