Achieving Equity in Age of Artificial Intelligence

This supplement is a step forward in promoting health equity and a race-conscious approach in clinical practice and in tools, such as clinical practice guidelines (CPGs) and clinical reports (CRs). The series of important articles respond to the American Academy of Pediatrics' call to eliminate race-based clinical guidance and calls for needed research to support the reevaluation of CPGs and CRs across key pediatric domains. Additionally, the authors highlight not only the complexities in making inferences but also delve into the pragmatic issues of implementation highlighting consistent barriers to adopting a race-conscious approach in pediatric evidence-based medicine. It is not enough to describe disparities if there are not interventions to change outcomes. It is not enough to create race-conscious clinical guidelines if they are not used. Finally, in today's world, implementation cannot be discussed without consideration of the impact of artificial intelligence (AI) now transforming evidence-based medicine.

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Publication Details

Journal
PEDIATRICS
Published
2026-06-17
DOI
https://doi.org/10.1542/peds.2026-076070g
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Achieving Equity in Age of Artificial Intelligence

Kamila B. Mistry, Tina L. Cheng
PEDIATRICS
Artificial Intelligence in Healthcare and Education
article

Achieving Equity in Age of Artificial Intelligence

Kamila B. Mistry, Tina L. Cheng
article en

Abstract

This supplement is a step forward in promoting health equity and a race-conscious approach in clinical practice and in tools, such as clinical practice guidelines (CPGs) and clinical reports (CRs). The series of important articles respond to the American Academy of Pediatrics' call to eliminate race-based clinical guidance and calls for needed research to support the reevaluation of CPGs and CRs across key pediatric domains. Additionally, the authors highlight not only the complexities in making inferences but also delve into the pragmatic issues of implementation highlighting consistent barriers to adopting a race-conscious approach in pediatric evidence-based medicine. It is not enough to describe disparities if there are not interventions to change outcomes. It is not enough to create race-conscious clinical guidelines if they are not used. Finally, in today's world, implementation cannot be discussed without consideration of the impact of artificial intelligence (AI) now transforming evidence-based medicine.

PEDIATRICS
Cincinnati Children's Hospital Medical Center (US), Johns Hopkins University (US), Johns Hopkins Medicine (US)
Openalex Percentile: Top 10%
Artificial Intelligence in Healthcare and Education
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