Evaluation of an Artificial Intelligence System for Retinopathy of Prematurity Screening in Nepal and Mongolia

Evaluation of an Artificial Intelligence System for Retinopathy of Prematurity Screening in Nepal and Mongolia

Purpose: To evaluate the performance of a deep learning (DL) algorithm for retinopathy of prematurity (ROP) screening in Nepal and Mongolia. Design: Retrospective analysis of prospectively collected clinical data. Participants: Clinical information and fundus images were obtained from infants in 2 R...

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Main Authors: Emily Cole, MD, MPH, Nita G. Valikodath, MD, MS, Tala Al-Khaled, MD, Sanyam Bajimaya, MBBS, MD, Sagun KC, MSc, Tsengelmaa Chuluunbat, MD, Bayalag Munkhuu, MD, Karyn E. Jonas, MSN, RN-BC, Chimgee Chuluunkhuu, MD, Leslie D. MacKeen, BSc, Vivien Yap, MD, Joelle Hallak, PhD, Susan Ostmo, MSc, Wei-Chi Wu, MD, PhD, Aaron S. Coyner, PhD, Praveer Singh, PhD, Jayashree Kalpathy-Cramer, PhD, Michael F. Chiang, MD, J. Peter Campbell, MD, MPH, R. V. Paul Chan, MD
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:Ophthalmology Science
Subjects:
Artificial intelligence
Deep learning
Mongolia
Nepal
Retinopathy of prematurity
Online Access:http://www.sciencedirect.com/science/article/pii/S2666914522000549

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http://www.sciencedirect.com/science/article/pii/S2666914522000549

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