Assessing and Mitigating Bias in Medical Artificial Intelligence

A. Noseworthy, Peter; I. Attia, Zachi; C. Brewer, LaPrincess; N. Hayes, Sharonne; Yao, Xiaoxi; Kapa, Suraj; A. Friedman, Paul; López-Jiménez, Francisco

doi:10.1161/circep.119.007988

Public

Assessing and Mitigating Bias in Medical Artificial Intelligence

Published in Circulation Arrhythmia and Electrophysiology • Feb 16, 2020

Authors:

Peter A. Noseworthy

Zachi I. Attia

LaPrincess C. Brewer

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 health and health care. In this study, we aimed to (1) assess whether the performance of a deep learning...

Subject

Medicine

Cohort

Ejection fraction

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