Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

Abstract

In this evaluation of retinal fundus photographs from adults with diabetes, an algorithm based on deep machine learning had high sensitivity and specificity for detecting referable diabetic retinopathy. Further research is necessary to determine the feasibility of applying this algorithm in the clinical setting and to determine whether use of the algorithm could lead to improved care and outcomes compared with current ophthalmologic assessment.

Keywords

MedicineDiabetic retinopathyFundus (uterus)Deep learningConvolutional neural networkArtificial intelligenceAlgorithmRetinalOphthalmologyMacular edemaOptometryData setDiabetes mellitusComputer science

Affiliated Institutions

Related Publications

Rethinking the Inception Architecture for Computer Vision

Christian Szegedy , Vincent Vanhoucke , Sergey Ioffe +2 more

Convolutional networks are at the core of most state of-the-art computer vision solutions for a wide variety of tasks. Since 2014 very deep convolutional networks started to bec...

2016 29577 citations

Publication Info

Year: 2016
Type: article
Volume: 316
Issue: 22
Pages: 2402-2402
Citations: 6933
Access: Closed

External Links

View on DOI.org

Social Impact

Altmetric

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

PlumX Metrics

Social media, news, blog, policy document mentions

Citation Metrics

6933

OpenAlex

Cite This

APA Style

                            
                                
                                    Varun Gulshan, 
                                
                                    Lily Peng, 
                                
                                    Marc Coram
                                
                                et al.
                            
                            (2016). 
                            Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs. 
                            JAMA
                            , 316
                            (22)
                            , 2402-2402.
                            https://doi.org/10.1001/jama.2016.17216
                        

Identifiers

DOI: 10.1001/jama.2016.17216