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

Author

Listed:
  • 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
    Digital Diagnostics Inc
    Iowa City VA Medical Center
    The University of Iowa)

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

Suggested Citation

  • 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 & Michael D. Abramo, 2024. "Autonomous artificial intelligence increases screening and follow-up for diabetic retinopathy in youth: the ACCESS randomized control trial," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-023-44676-z
    DOI: 10.1038/s41467-023-44676-z
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