The Value of Automated Diabetic Retinopathy Screening with the EyeArt System: A Study of More Than 100,000 Consecutive Encounters from People with Diabetes
Author:
Affiliation:
1. Eyenuk, Inc., Los Angeles, California.
2. EyePACS LLC, San Jose, California.
3. Doheny Eye Institute, Los Angeles, California.
Publisher
Mary Ann Liebert Inc
Subject
Medical Laboratory Technology,Endocrinology,Endocrinology, Diabetes and Metabolism
Link
https://www.liebertpub.com/doi/pdf/10.1089/dia.2019.0164
Reference22 articles.
1. Perceived Barriers to Diabetic Eye Care
2. Mass Screening of Diabetic Retinopathy Using Automated Methods
3. Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices
4. Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
5. Validation of automated screening for referable diabetic retinopathy with the IDx-DR device in the Hoorn Diabetes Care System
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