Journal article
Autonomous AI-assisted diabetic retinopathy screening at primary care is associated with increased presentation to eye care by at risk patients
NPJ digital medicine
03/05/2026
DOI: 10.1038/s41746-026-02460-5
PMCID: PMC13077085
PMID: 41781569
Abstract
Adult patients with diabetes (n = 3745) seen at Johns Hopkins Medicine primary care sites were referred to the Wilmer Eye Institute either based on a primary care provider referral or autonomous AI diagnostic result (referral was made after a positive or non-diagnostic result). An inverse-probability-weighted regression, which incorporated propensity score matching on social determinants of health and relevant clinical variables, showed that implementation of an autonomous AI-assisted diabetic screening program in a primary care clinic was associated with increased presentation to eye care specialist care by African-Americans (p = 0.02). This is significant because African-Americans have traditionally been less likely to undergo annual screening exams and more likely to present with more severe forms of diabetic retinopathy (DR). The results suggest a potential association between office-based, AI-assisted DR screening and improved downstream ophthalmic access for African-American patients. However, given that the analysis was exploratory, this association should be interpreted cautiously and further validated.
Details
- Title: Subtitle
- Autonomous AI-assisted diabetic retinopathy screening at primary care is associated with increased presentation to eye care by at risk patients
- Creators
- Ariel Leong - Johns Hopkins UniversityRisa M Wolf - Johns Hopkins UniversityRoomasa Channa - University of Wisconsin–MadisonJiangxia Wang - Johns Hopkins UniversityHarold Lehmann - Johns Hopkins UniversityMichael D Abramoff - University of IowaT Y Alvin Liu - Johns Hopkins University
- Resource Type
- Journal article
- Publication Details
- NPJ digital medicine
- DOI
- 10.1038/s41746-026-02460-5
- PMID
- 41781569
- PMCID
- PMC13077085
- NLM abbreviation
- NPJ Digit Med
- ISSN
- 2398-6352
- eISSN
- 2398-6352
- Publisher
- Springer Nature
- Language
- English
- Electronic publication date
- 03/05/2026
- Academic Unit
- Electrical and Computer Engineering; Fraternal Order of Eagles Diabetes Research Center; Ophthalmology and Visual Sciences
- Record Identifier
- 9985141867702771
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