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

Radiologists who recommend less testing than AI may face decreased patient confidence in their expertise, but they may not face this same penalty for giving more aggressive recommendations than AI. Patients' reactions may depend in part on whether their general preferences to maximize or minimize align with the radiologists' recommendations. Future research should test communication strategies for radiologists' disclosure of AI discrepancies to patients.

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Publication Details

Journal
Journal of Medical Internet Research
Published
2025-04-04
DOI
https://doi.org/10.2196/68823
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Farrah Madanay, Laura S. O’Donohue, Brian J. Zikmund‐Fisher
Journal of Medical Internet Research
Artificial Intelligence in Healthcare and Education
article

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

Farrah Madanay, Laura S. O’Donohue, Brian J. Zikmund‐Fisher
article en

Abstract

Radiologists who recommend less testing than AI may face decreased patient confidence in their expertise, but they may not face this same penalty for giving more aggressive recommendations than AI. Patients' reactions may depend in part on whether their general preferences to maximize or minimize align with the radiologists' recommendations. Future research should test communication strategies for radiologists' disclosure of AI discrepancies to patients.

Journal of Medical Internet ResearchVol. 27
University of Michigan (US), Michigan Medicine (US)
Openalex Percentile: Top 96%
Artificial Intelligence in Healthcare and Education
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