Factors for Patient Trust and Acceptance of Medical Artificial Intelligence

Authors

• Ana Bracic, Michigan State University Department of Political ScienceFollow
• Kayte Spector-Bagdady, University of Michigan Medical School
• Sophie Towle, University of Michigan Law School
• Rina Zhang, University of Michigan Law School
• Cornelius A. James, University of Michigan Medical School
• Nicholson W. Price II, University of Michigan Law SchoolFollow

Document Type

Article

Publication Date

3-2026

Abstract

Artificial intelligence (AI) is increasingly used in clinical care, but widespread adoption requires patient trust. Trust may be enhanced through systemic governance mechanisms or frontline clinicians providing a human in the loop for AI oversight. However, it is unclear how different approaches specifically influence patient trust in the use of medical AI. The objective is to determine the extent to which patient trust in and choice of medical scenarios involving AI are associated with governance mechanisms, clinician presence, performance, and data quality.

Comments

This is an open access article distributed under the terms of the CC-BY License. © 2026 Bracic A et al. JAMA Network Open. doi: 10.1001/jamanetworkopen.2026.0815

Recommended Citation

Bracic, Ana, Kayte Spector-Bagdady, Sophie Towle, Rina Zhang, Cornelius A. James, Nicholson W. Price II. "Factors for Patient Trust and Acceptance of Medical Artificial Intelligence." JAMA Network Open (2026).