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.
Authors
- Farrah Madanay (ORCID: https://orcid.org/0000-0001-6660-7671)
- Laura S. O’Donohue (ORCID: https://orcid.org/0000-0003-3283-6542)
- Brian J. Zikmund‐Fisher (ORCID: https://orcid.org/0000-0002-1637-4176)
Institutions
- University of Michigan (US)
- Michigan Medicine (US)
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