Artwork

内容由Paytient提供。所有播客内容(包括剧集、图形和播客描述)均由 Paytient 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal
Player FM -播客应用
使用Player FM应用程序离线!

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

46:54
 
分享
 

Manage episode 343140560 series 3324979
内容由Paytient提供。所有播客内容(包括剧集、图形和播客描述)均由 Paytient 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.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集单集

Artwork
icon分享
 
Manage episode 343140560 series 3324979
内容由Paytient提供。所有播客内容(包括剧集、图形和播客描述)均由 Paytient 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.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集单集

Tutti gli episodi

×
 
Loading …

欢迎使用Player FM

Player FM正在网上搜索高质量的播客,以便您现在享受。它是最好的播客应用程序,适用于安卓、iPhone和网络。注册以跨设备同步订阅。

 

快速参考指南