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Diabetic Retinopathy

Diabetic Retinopathy

DefinitionDiabetic retinopathy is a microvascular complication of diabetes affecting the retinal blood vessels.Risk FactorsDiabetic retinopathy is present in almost all individuals with type 1 diabetes and more than 60% of those with type 2 diabetes after two decades of disease.The risk increases with poor glycemic control, hypertension, dyslipidemia, smoking, pregnancy, and puberty.Although cataracts and glaucoma are also more frequent in people with diabetes, retinopathy remains the leading...

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Performance of a Retinal Imaging Camera With On-Device Intelligence for Primary Care: Retrospective Study.

Matthew Silvestrini¹, Clarissa Lui¹, Anil Patwardhan¹

¹Verily Life Sciences, 999 Bayhill Dr, San Bruno, CA, 94066, United States, 1 415-786-7939.

JMIR Formative Research

|July 17, 2025

Summary

This summary is machine-generated.

A new retinal camera system for primary care shows high performance and usability, improving access to diabetic retinopathy screening. This technology could enhance early detection and patient outcomes in primary care settings.

Keywords:

diabetic retinopathy diabetic retinopathy screening fundus imaging retinal camera retinal imaging

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Area of Science:

Ophthalmology
Medical Imaging
Primary Care Technology

Background:

Access to early diabetic retinopathy (DR) screening remains a significant barrier to timely detection.
Operational challenges like cost and workflow integration hinder the adoption of retinal camera systems in U.S. primary care.

Purpose of the Study:

To develop and evaluate a novel retinal screening system designed for seamless integration into primary care workflows.
To assess the performance and usability of the Verily Numetric Retinal Camera (VNRC) in a simulated primary care environment.

Main Methods:

Development of a nonmydriatic, 45° field imaging retinal camera (VNRC) with on-device intelligent features and cloud-based image routing.
Retrospective performance evaluation comparing VNRC against a reference camera and assessing its quality control algorithm's correlation with gradability.
Usability study involving trained and untrained users and operators in a simulated primary care setting, followed by user experience questionnaires.

Main Results:

The VNRC captured images with 98.5% sufficiency for clinical interpretation, comparable to a reference camera (97.1%).
The VNRC's quality control algorithm showed a strong positive association (φ=0.58) with ophthalmologist-determined gradability.
All users (100%) and most operators (97%) found the VNRC imaging process intuitive, comfortable, and a positive experience.

Conclusions:

The VNRC system demonstrates strong performance and usability, supporting its implementation as an integrated retinal screening service in primary care.
Further studies are recommended to validate real-world usability across diverse primary care settings.