Health AI Central
Peer-Reviewed Publication
Nat Commun2024;15(1):421.January 11, 2024Randomized Controlled Trial

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

Risa M Wolf1, Roomasa Channa2, T Y Alvin Liu3, Anum Zehra4, Lee Bromberger4, Dhruva Patel4, Ajaykarthik Ananthakrishnan4, Elizabeth A Brown4, Laura Prichett5, Harold P Lehmann6, Michael D Abramoff7,8,9,10,11
1Department of Pediatrics, Division of Endocrinology, Johns Hopkins School of Medicine, Baltimore, MD, USA. RWolf@jhu.edu.
2Department of Ophthalmology and Visual Sciences, University of Wisconsin, Madison, WI, USA.
3Wilmer Eye Institute at the Johns Hopkins School of Medicine, Baltimore, MD, USA.
4Department of Pediatrics, Division of Endocrinology, Johns Hopkins School of Medicine, Baltimore, MD, USA.
5Johns Hopkins School of Medicine Biostatistics, Epidemiology and Data Management (BEAD) Core, Baltimore, MD, USA.
6Section on Biomedical Informatics and Data Science, Johns Hopkins University, Baltimore, MD, USA.
7Department of Ophthalmology and Visual Sciences, The University of Iowa, Iowa City, IA, USA.
8Digital Diagnostics Inc, Coralville, IA, USA.
9Iowa City VA Medical Center, Iowa City, IA, USA.
10Department of Biomedical Engineering, The University of Iowa, Iowa City, IA, USA.
11Department of Electrical and Computer Engineering, The University of Iowa, Iowa City, IA, USA.
PubMed PMC DOI PDF

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…

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