Impact of Artificial Intelligence Assessment of Diabetic Retinopathy on Referral Service Uptake in a Low-Resource Setting

Impact of Artificial Intelligence Assessment of Diabetic Retinopathy on Referral Service Uptake in a Low-Resource Setting

Purpose: This trial was designed to determine if artificial intelligence (AI)-supported diabetic retinopathy (DR) screening improved referral uptake in Rwanda. Design: The Rwanda Artificial Intelligence for Diabetic Retinopathy Screening (RAIDERS) study was an investigator-masked, parallel-group ran...

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Bibliographic Details
Main Authors: Wanjiku Mathenge, MD, PhD, Noelle Whitestone, MHA, John Nkurikiye, MD, Jennifer L. Patnaik, PhD, Prabhath Piyasena, PhD, Parfait Uwaliraye, MD, Gabriella Lanouette, BS, Malik Y. Kahook, MD, David H. Cherwek, MD, Nathan Congdon, MD, MPH, Nicolas Jaccard, PhD
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:Ophthalmology Science
Subjects:
Artificial intelligence
Diabetic retinopathy screening
Randomized trial
Referral uptake
Rwanda
Online Access:http://www.sciencedirect.com/science/article/pii/S2666914522000574

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http://www.sciencedirect.com/science/article/pii/S2666914522000574

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