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This paper is in the following e-collection/theme issue:

Ethical, Legal, and Social Issues in AI (132) Decision Support for Health Professionals (1677) Artificial Intelligence (2434) Responsible Health AI (102) AI Governance and Policy (32)

Published on in Vol 5 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/84315, first published .
Public Expectations for Food and Drug Administration Approval of AI-Based Clinical Decision Support Tools: Quantitative Study

Public Expectations for Food and Drug Administration Approval of AI-Based Clinical Decision Support Tools: Quantitative Study

Public Expectations for Food and Drug Administration Approval of AI-Based Clinical Decision Support Tools: Quantitative Study

Authors of this article:

Gloria Maria Carmona Clavijo1 Author Orcid Image ;   Paige Nong2 Author Orcid Image ;   Sean Tan1 Author Orcid Image ;   Jodyn Platt1 Author Orcid Image
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Gloria Maria Carmona Clavijo   1 , MPH, PhD ;   Paige Nong   2 , PhD ;   Sean Tan   1 , MPP ;   Jodyn Platt   1 , MPH, PhD

1 TIERRA - Trust, Innovation & Ethics Research for Responsible AI, Department of Learning Health Systems, University of Michigan, Ann Arbor, MI, United States

2 Division of Health Policy and Management, School of Public Health, University of Minnesota, Minnesota, MN, United States

Corresponding Author:

  • Gloria Maria Carmona Clavijo, MPH, PhD
  • TIERRA - Trust, Innovation & Ethics Research for Responsible AI
  • Department of Learning Health Systems
  • University of Michigan
  • 2800 Plymouth Rd, B014-G017 North Campus Research Complex (NCRC)
  • Ann Arbor, MI 48109
  • United States
  • Phone: 1 4197872928
  • Email: gcarmona@umich.edu