RETINA-AI Health

About RETINA-AI Health

RETINA-AI Health develops the Galaxy system, an automated diabetic retinopathy screening tool that utilizes deep learning to analyze retinal images and provide diagnoses in under 10 seconds without the need for on-site eye care specialists. This technology addresses the high risk of blindness from diabetic retinopathy by enabling early detection and timely referrals in primary care settings.

```xml <problem> Diabetic retinopathy, a leading cause of blindness in working-age adults, often goes undetected until it's advanced, due to the need for specialized equipment and trained professionals for screening. This results in delayed diagnoses and treatment, increasing the risk of vision loss. </problem> <solution> RETINA-AI Health's Galaxy system offers an automated solution for diabetic retinopathy screening, delivering diagnoses in under 10 seconds. The system uses deep learning to analyze retinal images, eliminating the need for on-site eye care specialists and enabling early detection in primary care settings. The AI identifies markers indicative of moderate or worse diabetic retinopathy (mowDRet), prompting referrals to eye care professionals when necessary, while patients without detected disease are scheduled for a retest in 12 months. The system is compatible with multiple robotic cameras, simplifying image capture and analysis. </solution> <features> - AI-powered analysis of retinal images for diabetic retinopathy detection - Diagnosis provided in under 10 seconds - Compatibility with robotic cameras from Centervue, Crystalvue, and Topcon - High sensitivity (exceeding 90% for mowDRet and 95% for vision-threatening diabetic retinopathy) - Actionable report aligned with American Academy of Ophthalmology (AAO) guidelines - Easy-to-use interface requiring minimal training for medical assistants - Integration with existing primary care workflows - Reimbursement via CPT code 92229 </features> <target_audience> The primary target audience includes primary care physicians (PCPs), insurers/payors, and patients seeking convenient and early detection of diabetic retinopathy. </target_audience> <revenue_model> The company generates revenue through CPT code 92229, which is reimbursed by Medicare and major healthcare insurance providers. </revenue_model> ```

What does RETINA-AI Health do?

RETINA-AI Health develops the Galaxy system, an automated diabetic retinopathy screening tool that utilizes deep learning to analyze retinal images and provide diagnoses in under 10 seconds without the need for on-site eye care specialists. This technology addresses the high risk of blindness from diabetic retinopathy by enabling early detection and timely referrals in primary care settings.

Where is RETINA-AI Health located?

RETINA-AI Health is based in Houston, United States.

When was RETINA-AI Health founded?

RETINA-AI Health was founded in 2017.

How much funding has RETINA-AI Health raised?

RETINA-AI Health has raised 12330000.

Location
Houston, United States
Founded
2017
Funding
12330000
Employees
7 employees

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RETINA-AI Health

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Executive Summary

RETINA-AI Health develops the Galaxy system, an automated diabetic retinopathy screening tool that utilizes deep learning to analyze retinal images and provide diagnoses in under 10 seconds without the need for on-site eye care specialists. This technology addresses the high risk of blindness from diabetic retinopathy by enabling early detection and timely referrals in primary care settings.

retinahealth.ai1K+
cb
Crunchbase
Founded 2017Houston, United States

Funding

$

Estimated Funding

$10M+

Team (5+)

No team information available.

Company Description

Problem

Diabetic retinopathy, a leading cause of blindness in working-age adults, often goes undetected until it's advanced, due to the need for specialized equipment and trained professionals for screening. This results in delayed diagnoses and treatment, increasing the risk of vision loss.

Solution

RETINA-AI Health's Galaxy system offers an automated solution for diabetic retinopathy screening, delivering diagnoses in under 10 seconds. The system uses deep learning to analyze retinal images, eliminating the need for on-site eye care specialists and enabling early detection in primary care settings. The AI identifies markers indicative of moderate or worse diabetic retinopathy (mowDRet), prompting referrals to eye care professionals when necessary, while patients without detected disease are scheduled for a retest in 12 months. The system is compatible with multiple robotic cameras, simplifying image capture and analysis.

Features

AI-powered analysis of retinal images for diabetic retinopathy detection

Diagnosis provided in under 10 seconds

Compatibility with robotic cameras from Centervue, Crystalvue, and Topcon

High sensitivity (exceeding 90% for mowDRet and 95% for vision-threatening diabetic retinopathy)

Actionable report aligned with American Academy of Ophthalmology (AAO) guidelines

Easy-to-use interface requiring minimal training for medical assistants

Integration with existing primary care workflows

Reimbursement via CPT code 92229

Target Audience

The primary target audience includes primary care physicians (PCPs), insurers/payors, and patients seeking convenient and early detection of diabetic retinopathy.

Revenue Model

The company generates revenue through CPT code 92229, which is reimbursed by Medicare and major healthcare insurance providers.

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