Patient Reactions to Artificial Intelligence-Clinician Discrepancies: Web-Based Randomized Experiment.

Journal: Journal of medical Internet research
Published Date: May 22, 2025

Abstract

BACKGROUND: As the US Food and Drug Administration (FDA)-approved use of artificial intelligence (AI) for medical imaging rises, radiologists are increasingly integrating AI into their clinical practices. In lung cancer screening, diagnostic AI offers a second set of eyes with the potential to detect cancer earlier than human radiologists. Despite AI's promise, a potential problem with its integration is the erosion of patient confidence in clinician expertise when there is a discrepancy between the radiologist's and the AI's interpretation of the imaging findings.

Authors

  • Farrah Madanay
    Sanford School of Public Policy, Duke University, Durham, NC, United States.
  • Laura S O'Donohue
    Department of Radiology, University of Michigan Medicine, University of Michigan-Ann Arbor, Ann Arbor, MI, United States.
  • Brian J Zikmund-Fisher
    Health Behavior and Health Equity, Internal Medicine, Center for Bioethics and Social Sciences in Medicine, University of Michigan-Ann Arbor, Ann Arbor, MI, United States.

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