Imaging Artificial Intelligence: A Framework for Radiologists to Address Health Equity, From the AJR Special Series on DEI

Melissa A. Davis, Nicholas Lim, John Jordan, Judy Yee, Judy Wawira Gichoya, Ryan Lee

Research output: Contribution to journalReview articlepeer-review

2 Scopus citations

Abstract

Artificial intelligence (AI) holds promise for helping patients access new and individualized health care pathways while increasing efficiencies for health care practitioners. Radiology has been at the forefront of this technology in medicine; many radiology practices are implementing and trialing AI-focused products. AI also holds great promise for reducing health disparities and promoting health equity. Radiology is ideally positioned to help reduce disparities given its central and critical role in patient care. The purposes of this article are to discuss the potential benefits and pitfalls of deploying AI algorithms in radiology, specifically highlighting the impact of AI on health equity; to explore ways to mitigate drivers of inequity; and to enhance pathways for creating better health care for all individuals, centering on a practical framework that helps radiologists address health equity during deployment of new tools.

Original languageEnglish (US)
Pages (from-to)302-308
Number of pages7
JournalAJR. American journal of roentgenology
Volume221
Issue number3
DOIs
StatePublished - Sep 1 2023

Keywords

  • artificial intelligence
  • governance
  • health disparities
  • health equity

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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