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

Formative Studies and eHealth/mHealth Development (709) mHealth for Data Collection and Research (1744) mHealth for Screening (468) Ophthalmology (122)

Published on in Vol 14 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52650, first published .
Close-up of a brown human eye reflecting light and eyelashes

The Utility of a Smartphone-Based Retinal Imaging Device as a Screening Tool in an Outpatient Clinic Setting: Protocol for an Observational Study

The Utility of a Smartphone-Based Retinal Imaging Device as a Screening Tool in an Outpatient Clinic Setting: Protocol for an Observational Study

Authors of this article:

Ajay Mittal1, 2 Author Orcid Image ;   Victor Sanchez3 Author Orcid Image ;   Navjot Singh Azad2 Author Orcid Image ;   Yaroslav Zuyev2 Author Orcid Image ;   Rafael Robles4 Author Orcid Image ;   Mark Sherwood1 Author Orcid Image
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  1. Rizzieri N, Dall’Asta L, Ozoliņš M. An Automated Diagnosis of Myopia from an Optic Disc Image Using YOLOv11: A Feasible Approach for Non-Expert ECPs in Computer Vision. Life 2025;15(10):1495 View
  2. Lechtenboehmer R, Cleland C, Malerbi F, Vaughan N, Rajalakshmi R, Young B, Pujari A, Sharma A, Murali K, Campbell J, Sivaprasad S, Holz F, Finger R, Burton M, Wintergerst M. Smartphone-Based Fundus Imaging in Global Eye Care: Closing the Gap. Progress in Retinal and Eye Research 2026:101515 View

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  1. Totiny T, Sayem S, Zahangir M, Zaman S, Ahamed M, Hossain R, Talha M. Proceedings of the 3rd International Conference on Big Data, IoT and Machine Learning. View