This paper is in the following e-collection/theme issue:

Development and Evaluation of Research Methods, Instruments and Tools (261) Diabetes Health Services and System Innovations (89) Imaging Informatics (154) Diabetic Retinopathy (6) Computer-Aided Diagnosis (51) Machine Learning (1121)

Published on in Vol 5 , No 8 (2021) :August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25290, first published .
Screening Diabetic Retinopathy Using an Automated Retinal Image Analysis System in Independent and Assistive Use Cases in Mexico: Randomized Controlled Trial

Screening Diabetic Retinopathy Using an Automated Retinal Image Analysis System in Independent and Assistive Use Cases in Mexico: Randomized Controlled Trial

Screening Diabetic Retinopathy Using an Automated Retinal Image Analysis System in Independent and Assistive Use Cases in Mexico: Randomized Controlled Trial

Authors of this article:

Alejandro Noriega 1, 2 Author Orcid Image ;   Daniela Meizner 3 Author Orcid Image ;   Dalia Camacho 2, 4 Author Orcid Image ;   Jennifer Enciso 2, 5 Author Orcid Image ;   Hugo Quiroz-Mercado 3 Author Orcid Image ;   Virgilio Morales-Canton 3 Author Orcid Image ;   Abdullah Almaatouq 6 Author Orcid Image ;   Alex Pentland 1 Author Orcid Image
Article Authors Cited by (3) Tweetations (3) Metrics

Journals

  1. Uppamma P, Bhattacharya S, Geman O. Deep Learning and Medical Image Processing Techniques for Diabetic Retinopathy: A Survey of Applications, Challenges, and Future Trends. Journal of Healthcare Engineering 2023;2023:1 View
  2. Starovoitov V, Golub Y, Lukashevich M. A Universal Retinal Image Template for Automated Screening of Diabetic Retinopathy. Pattern Recognition and Image Analysis 2022;32(2):322 View

Books/Policy Documents

  1. Juneja S, Bali A, Bali N. AI Applications for Disease Diagnosis and Treatment. View