Journal ArticleOPEN ACCESS

Assessing and Mitigating Bias in Medical Artificial Intelligence

  • Noseworthy P
  • Attia Z
  • Brewer L
  • et al.
Circulation: Arrhythmia and Electrophysiology (2020) 13(3)
DOI: 10.1161/circep.119.007988
N/ACitations
Citations of this article
33Readers
Mendeley users who have this article in their library.

Abstract

Background:Deep learning algorithms derived in homogeneous populations may be poorly generalizable and have the potential to reflect, perpetuate, and even exacerbate racial/ethnic disparities in he...

Cite

CITATION STYLE

APA

Noseworthy, P. A., Attia, Z. I., Brewer, L. C., Hayes, S. N., Yao, X., Kapa, S., … Lopez-Jimenez, F. (2020). Assessing and Mitigating Bias in Medical Artificial Intelligence. Circulation: Arrhythmia and Electrophysiology, 13(3). https://doi.org/10.1161/circep.119.007988

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free