Patient Perspectives on Artificial Intelligence-Based Diabetic Retinopathy Screening at an Urban US Medical Center
We found that while participants were generally comfortable with the use of AI as part of the eye examination, most would trust AI more if it were supervised by a doctor and did not believe that AI-based DR screening could replace a doctor's visit. Implementation of autonomous AI-based DR screening should address the mismatch between the intended use of fully autonomous AI screening and participants' understanding of the role that would mean for physicians.
Authors
- Yangyiran Xie (ORCID: https://orcid.org/0000-0001-9194-2439)
- Gina Zhu (ORCID: https://orcid.org/0000-0002-5052-3243)
- Aregnazan Sandrosyan
- Jose Amezcua Moreno
- Yu Sun (ORCID: https://orcid.org/0000-0003-3388-2807)
- Zainab Rustam (ORCID: https://orcid.org/0000-0001-8686-3517)
- Diep Tran
- Cindy Cai
Institutions
- Texas Tech University (US)
- Johns Hopkins University (US)
- The University of Texas at El Paso (US)
- Johns Hopkins Medicine (US)
- Vanderbilt University Medical Center (US)
Publication Details
- Journal
- Clinical ophthalmology
- Published
- 2026-02-01
- DOI
- https://doi.org/10.2147/opth.s581564
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Research to Prevent Blindness
- Johns Hopkins University
- National Institutes of Health
- National Eye Institute