Automated diabetic retinopathy detection in smartphone-based fundus photography using artificial intelligence

Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes

(2017) Daniel Shu Wei Ting et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

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

(2016) Varun Gulshan et al.   JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION

Evaluation of Automated Teleretinal Screening Program for Diabetic Retinopathy

(2016) O. Bennett Walton et al.   JAMA Ophthalmology

Comparison of Smartphone Ophthalmoscopy With Slit-Lamp Biomicroscopy for Grading Diabetic Retinopathy

(2015) Andrea Russo et al.   AMERICAN JOURNAL OF OPHTHALMOLOGY

A study of whether automated Diabetic Retinopathy Image Assessment could replace manual grading steps in the English National Screening Programme

(2015) Venediktos V Kapetanakis et al.   JOURNAL OF MEDICAL SCREENING

Comparison Among Methods of Retinopathy Assessment (CAMRA) Study

(2015) Martha E. Ryan et al.   OPHTHALMOLOGY

Validation of Smartphone Based Retinal Photography for Diabetic Retinopathy Screening

(2015) Ramachandran Rajalakshmi et al.   PLoS One

Prevalence and risk factors for diabetic retinopathy in Asian Indians with young onset Type 1 and Type 2 Diabetes

(2014) Ramachandran Rajalakshmi et al.   JOURNAL OF DIABETES AND ITS COMPLICATIONS

The Cost–Utility of Telemedicine to Screen for Diabetic Retinopathy in India

(2012) Sudhir Rachapelle et al.   OPHTHALMOLOGY

Automated detection of diabetic retinopathy: barriers to translation into clinical practice

(2010) Michael D Abramoff et al.   Expert Review of Medical Devices