Artificial intelligence using deep learning to screen for referable and vision-threatening diabetic retinopathy in Africa: a clinical validation study

Artificial intelligence using deep learning to screen for referable and vision-threatening diabetic retinopathy in Africa: a clinical validation study

Summary: Background: Radical measures are required to identify and reduce blindness due to diabetes to achieve the Sustainable Development Goals by 2030. Therefore, we evaluated the accuracy of an artificial intelligence (AI) model using deep learning in a population-based diabetic retinopathy scre...

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Bibliographic Details
Main Authors: Valentina Bellemo, MSc, Zhan W Lim, PhD, Gilbert Lim, PhD, Quang D Nguyen, BEng, Yuchen Xie, MScPH, Michelle Y T Yip, BA, Haslina Hamzah, BSc, Jinyi Ho, DFST, Xin Q Lee, BSc (Hons), Wynne Hsu, PhD, Mong L Lee, PhD, Lillian Musonda, MD, Manju Chandran, FRCOphth, Grace Chipalo-Mutati, FCOphth (ECSA), Mulenga Muma, FCOphth (ECSA), Gavin S W Tan, MD, Sobha Sivaprasad, FRCOphth, Geeta Menon, FRCOphth, Tien Y Wong, MD, Daniel S W Ting, MD
Format: Article
Language:English
Published: Elsevier 2019-05-01
Series:The Lancet: Digital Health
Online Access:http://www.sciencedirect.com/science/article/pii/S2589750019300044

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http://www.sciencedirect.com/science/article/pii/S2589750019300044

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