Glaucoma is the world’s leading cause of irreversible blindness.

Glaucomatous vision loss can occur without symptoms or warning, making proactive imaging essential to halt progression and safeguard a patient’s vision.

What is Glaucoma?

Glaucoma refers to a group of eye conditions that damage the optic nerve, the vital link between the eye and the brain. Often caused by abnormally high pressure in the eye, this damage affects the million-plus delicate nerve fibers that transmit visual data. The disease typically begins by eroding peripheral vision and is known as the “silent thief of sight,” as patients often do not notice vision loss until it reaches an advanced stage or leads to “tunnel vision.”

Fundus photo showing retina affected by suspected glaucoma with a visible bayoneting blood vessel.Fundus photo showing retina affected by suspected glaucoma with a visible bayoneting blood vessel.

Why early identification of Glaucoma matters

Early detection is paramount because vision lost to glaucoma is permanent and cannot be restored. Structural damage to the optic nerve frequently occurs long before a patient experiences functional visual field loss. By the time symptoms appear, significant and irreversible damage has already taken place. Timely evaluation allows for early intervention and treatment plans that can halt the disease and protect the patient’s sight.

How AI supports Glaucoma awareness and care pathways

Our technology identifies structural indicators of glaucoma, such as optic disc cupping and bayoneting, during routine retinal exams*. By helping flag these suspected signs of nerve damage, the platform provides a critical safety net that catches cases that might otherwise go undetected in a primary care setting. Such patients can be referred to specialists for the additional testing and management needed to preserve their vision.

*Autonomous glaucomatous optic nerve damage detection is limited to investigational use in the US by federal law.

80M

people are estimated to be living with glaucoma (source)

111.8M

people worldwide are projected to have glaucoma by 2040 (source)

50%

of people with glaucoma are unaware they have it (source)

ECONOMIC IMPACT

Prevent vision loss

Extend eyecare access

Generate preventive care revenue

Reduce downstream cost

Improve healthcare quality metrics

BUILD TO EXPAND

Same platform

Same camera(s)

Same workflow

New diseases/cameras with added clearances

Learn more about our full-spectrum solution.

Eyenuk has the most validated autonomous AI in healthcare.

See the proof with your own eyes.

FDA 510(k)-cleared: The only autonomous AI for simultaneous mtmDR and vtDR detection

mtmDR accuracy: 96% sensitivity and 88% specificity for identifying more than mild DR

vtDR accuracy: 97% sensitivity and 90% specificity for identifying vision-threatening disease

Global clearances: EU MDR Class IIb for autonomous detection of DR, AMD, and glaucomatous optic nerve damage

Secure and certified: SOC 2 Type 2 attestation, HIPAA, GDPR, and ISO 13485:2016 (MDSAP) compliant for maximum data safety

Camera compatibility: Indicated for use with multiple retinal camera models from leading camera manufacturers

View the clinical evidence for yourself.

Transform every eye into a gateway to understanding.

Start FDA-cleared autonomous diabetic retinopathy screening in your clinic today.