Autonomous artificial intelligence increases screening and follow-up for diabetic retinopathy in youth: the ACCESS randomized control trial

Risa M. Wolf (), Roomasa Channa, T. Y. Alvin Liu, Anum Zehra, Lee Bromberger, Dhruva Patel, Ajaykarthik Ananthakrishnan, Elizabeth A. Brown, Laura Prichett, Harold P. Lehmann and Michael D. Abramoff
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Risa M. Wolf: Johns Hopkins School of Medicine
Roomasa Channa: University of Wisconsin
T. Y. Alvin Liu: Wilmer Eye Institute at the Johns Hopkins School of Medicine
Anum Zehra: Johns Hopkins School of Medicine
Lee Bromberger: Johns Hopkins School of Medicine
Dhruva Patel: Johns Hopkins School of Medicine
Ajaykarthik Ananthakrishnan: Johns Hopkins School of Medicine
Elizabeth A. Brown: Johns Hopkins School of Medicine
Laura Prichett: Epidemiology and Data Management (BEAD) Core
Harold P. Lehmann: Johns Hopkins University
Michael D. Abramoff: The University of Iowa

Nature Communications, 2024, vol. 15, issue 1, 1-9

Abstract: Abstract Diabetic retinopathy can be prevented with screening and early detection. We hypothesized that autonomous artificial intelligence (AI) diabetic eye exams at the point-of-care would increase diabetic eye exam completion rates in a racially and ethnically diverse youth population. AI for Children’s diabetiC Eye ExamS (NCT05131451) is a parallel randomized controlled trial that randomized youth (ages 8-21 years) with type 1 and type 2 diabetes to intervention (autonomous artificial intelligence diabetic eye exam at the point of care), or control (scripted eye care provider referral and education) in an academic pediatric diabetes center. The primary outcome was diabetic eye exam completion rate within 6 months. The secondary outcome was the proportion of participants who completed follow-through with an eye care provider if deemed appropriate. Diabetic eye exam completion rate was significantly higher (100%, 95%CI: 95.5%, 100%) in the intervention group (n = 81) than the control group (n = 83) (22%, 95%CI: 14.2%, 32.4%)(p

Date: 2024
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DOI: 10.1038/s41467-023-44676-z

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