Impact of Artificial Intelligence Assessment of Diabetic Retinopathy on Referral Service Uptake in a Low-Resource Setting: The RAIDERS Randomized Trial.

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Title: Impact of Artificial Intelligence Assessment of Diabetic Retinopathy on Referral Service Uptake in a Low-Resource Setting: The RAIDERS Randomized Trial.
Authors: Mathenge W; Rwanda International Institute of Ophthalmology, Kigali, Rwanda.; Orbis International, New York, New York., Whitestone N; Orbis International, New York, New York., Nkurikiye J; Rwanda International Institute of Ophthalmology, Kigali, Rwanda.; Rwanda Military Hospital, Kigali, Rwanda., Patnaik JL; Orbis International, New York, New York.; Department of Ophthalmology, University of Colorado School of Medicine, Aurora, Colorado., Piyasena P; Centre for Public Health, Queen's University Belfast, Belfast, United Kingdom., Uwaliraye P; Ministry of Health Rwanda, Kigali, Rwanda., Lanouette G; Orbis International, New York, New York., Kahook MY; Department of Ophthalmology, University of Colorado School of Medicine, Aurora, Colorado., Cherwek DH; Orbis International, New York, New York., Congdon N; Orbis International, New York, New York.; Centre for Public Health, Queen's University Belfast, Belfast, United Kingdom.; Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China., Jaccard N; Orbis International, New York, New York.
Source: Ophthalmology science [Ophthalmol Sci] 2022 Apr 30; Vol. 2 (4), pp. 100168. Date of Electronic Publication: 2022 Apr 30 (Print Publication: 2022).
Publication Type: Journal Article
Journal Info: Publisher: Elsevier, B.V Country of Publication: Netherlands NLM ID: 9918230896206676 Publication Model: eCollection Cited Medium: Internet ISSN: 2666-9145 (Electronic) Linking ISSN: 26669145 NLM ISO Abbreviation: Ophthalmol Sci Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:2666-9145
DOI:10.1016/j.xops.2022.100168