Addressing AI Algorithmic Bias in Health Care-Reference-Cited by-同舟云学术

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Addressing AI Algorithmic Bias in Health Care

Published:2024-09-04 Issue: Volume: Page:
ISSN:0098-7484
Container-title:JAMA
language:en
Short-container-title:JAMA

Author:

Ratwani Raj M.¹²,Sutton Karey¹,Galarraga Jessica E.²³

Affiliation:

1. MedStar Health Research Institute, Washington, DC

2. Georgetown University School of Medicine, Washington, DC

3. MedStar Health, Columbia, Maryland

Abstract

This Viewpoint discusses the bias that exists in artificial intelligence (AI) algorithms used in health care despite recent federal rules to prohibit discriminatory outcomes from AI and recommends ways in which health care facilities, AI developers, and regulators could share responsibilities and actions to address bias.

Publisher

American Medical Association (AMA)

Link

https://jamanetwork.com/journals/jama/articlepdf/2823006/jama_ratwani_2024_vp_240090_1724434863.13565.pdf

Reference6 articles.

1. Artificial intelligence in US health care delivery.;Sahni;N Engl J Med,2023

2. Addressing bias in artificial intelligence in health care.;Parikh;JAMA,2019

3. Dissecting racial bias in an algorithm used to manage the health of populations.;Obermeyer;Science,2019

4. A nationwide network of health AI assurance laboratories.;Shah;JAMA,2024

5. Hidden in plain sight—reconsidering the use of race correction in clinical algorithms.;Vyas;N Engl J Med,2020

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