AI in the Eye Exam: How Artificial Intelligence Is Changing Retinal Screening

A photograph of the back of your eye holds far more information than most people realize. Blood vessels, nerve tissue and the macula are all visible in a single image, and changes in them can signal disease long before you notice any symptoms. Today, AI retinal screening is changing how quickly and how widely those early warning signs can be found.

At Village Eyecare, we follow these advances closely because they matter for our patients. In this guide, we explain what an artificial intelligence eye exam actually involves, how accurate the technology is, what has been approved by the FDA, and why a comprehensive exam with an optometrist is still essential.

What Is AI Retinal Screening?

AI retinal screening uses computer software, trained on hundreds of thousands of retinal images, to analyze a photo of your retina and flag signs of disease. The system has learned what healthy and diseased retinas look like, so it can spot patterns such as tiny hemorrhages, leaking blood vessels and swelling around the macula.

• A technician takes a quick digital photo of each retina, often without dilating drops.
• The image is uploaded to the AI software, which grades it in seconds to minutes.
• The result shows whether disease is likely present and whether a referral to an eye doctor is needed.

This is an extension of the digital imaging already used in modern optometry. If you have had retinal photos or an OCT scan during one of our comprehensive eye examinations, you have already seen the type of image that AI reads.

Can AI Detect Eye Disease From a Retinal Photo?

Yes, for specific conditions. The best-established use is diabetic retinopathy, a leading cause of vision loss in working-age adults. Research systems have also shown promise for glaucoma, age-related macular degeneration and retinopathy of prematurity, though most of those tools are not yet cleared for independent use in the United States.

Diabetic retinopathy is a good fit for AI because it is common, it progresses silently, and it leaves visible marks on the retina. You can learn more about how this condition develops on our diabetic retinopathy patient education page.

AI Diabetic Retinopathy Screening: The Breakthrough Use Case

Many people with diabetes do not get the yearly retinal exam they need. AI diabetic retinopathy screening helps close that gap by bringing the screening into places patients already visit, such as a primary care office, pharmacy or endocrinology clinic.

What Is Autonomous AI Eye Screening?

Autonomous AI eye screening means the software makes the screening decision on its own, without a human specialist reviewing the image first. The result is immediate: either “refer to an eye care professional” or “rescreen in 12 months.” This differs from assistive AI, which highlights findings for a doctor to confirm.

Autonomous systems are designed for screening, not for full diagnosis or treatment. Any positive result still needs a detailed diabetic eye exam with an optometrist or ophthalmologist.

Is AI Eye Screening FDA Approved?

Yes. Several autonomous AI systems have FDA authorization for diabetic retinopathy screening in adults with diabetes:

• IDx-DR (now LumineticsCore) became the first autonomous AI diagnostic system of any kind authorized by the FDA in 2018.
• EyeArt from Eyenuk received FDA clearance in 2020.
• AEYE-DS from AEYE Health was cleared for use with a desktop camera and, in 2024, became the first autonomous system cleared with a handheld retinal camera.

AI screening for diabetic retinopathy is also reimbursable in the U.S. under a dedicated billing code (CPT 92229). It is important to note that these clearances cover diabetic retinopathy only. They do not make AI an approved replacement for checking glaucoma, macular degeneration or other conditions.

How Accurate Is AI Diabetic Retinopathy Screening?

Accuracy is usually described with two numbers. Sensitivity shows how often the AI catches disease when it is present. Specificity shows how often it correctly clears healthy eyes.

• In prospective pivotal studies, AEYE-DS showed sensitivity of 92 to 93 percent and specificity of 89 to 94 percent for more-than-mild diabetic retinopathy.
• A review of 17 real-world studies covering more than 162,000 exams found EyeArt had a pooled sensitivity of 95 percent and specificity of 81 percent.

In short, these tools are very good at not missing disease. Their specificity varies more between clinics, which means some healthy patients are referred for a follow-up exam they did not strictly need. That is why AI works best as a front-line filter, with trained eye doctors confirming and managing what it finds.

Oculomics: When AI Detects Disease From the Retina Beyond the Eye

The retina is the only place in the body where doctors can directly view blood vessels and nerve tissue without surgery. Oculomics is the emerging field that uses AI to read retinal images for clues about whole-body health.

Can a Retina Scan Predict Heart Disease?

Research suggests it may help. Early work from Google Health showed deep learning could estimate age, blood pressure and smoking status from retinal photos alone. Newer models have linked retinal features to coronary artery calcium scores and future cardiovascular events.

However, oculomics is still largely a research field. These heart risk models need more real-world validation and regulatory review before they become routine. What is already well established is that a careful eye exam can reveal signs of systemic conditions. Our article on how eye exams can reveal diabetes and hypertension explains what your optometrist already looks for today.

Is AI Replacing Optometrists?

No. AI is a powerful assistant, but it cannot replace the full scope of an optometrist’s care. A retinal photo is only one part of your eye health. A comprehensive exam also measures eye pressure, evaluates the optic nerve, checks your prescription, examines the front of the eye and considers your medical history.

AI screening for diabetic retinopathy will not, for example, tell you whether you have early glaucoma, dry eye disease or a corneal condition. Our guide on how eye exams detect glaucoma early shows why pressure readings, visual fields and optic nerve imaging remain essential. The most likely future is a partnership: AI handles high-volume image screening, and doctors focus on diagnosis, treatment and the conversations that matter to patients.

What AI Retinal Screening Means for Your Next Eye Exam

Whether or not AI is involved in your screening, the goal is the same: catching disease early, while it is most treatable. Advanced imaging such as OCT already gives optometrists a highly detailed, layer-by-layer view of the retina.

Read more about the benefits of OCT technology for early detection.

Here is what we recommend:

• If you have diabetes, get a dilated or imaging-based retinal exam at least once a year, even if an AI screening came back clear.
• If an AI screening flags a problem, book a full exam promptly instead of waiting for symptoms.
• Do not rely on an AI screening alone for overall eye health; keep up with routine comprehensive exams.
• Seek urgent care for sudden flashes, floaters, a curtain over your vision, eye pain or sudden vision loss.

Advanced Eye Exams in Chicago at Village Eyecare

Village Eyecare combines modern diagnostic technology with experienced, personal care. If you are looking for thorough eye exams in Chicago, our optometrists use advanced retinal imaging to evaluate the health of your eyes, not just your prescription. You can meet our doctors and learn about their areas of focus before your visit.

As one of the established Chicago Eyecare clinics, we have convenient offices across the city.

Find the nearest office on our locations page. If you notice sudden vision changes, eye pain or an injury, our team also provides emergency eye care in Chicago so you can be seen quickly.

Ready to take care of your eyes? Schedule your appointment with Village Eyecare today.

Frequently Asked Questions

Can AI detect eye disease from a retinal photo?

Yes. FDA-cleared AI systems can detect more-than-mild diabetic retinopathy from retinal photos with high sensitivity. Tools for glaucoma and macular degeneration are being studied but are not yet in routine autonomous use in the U.S.

Is AI replacing optometrists?

No. AI screens images for specific diseases, while optometrists perform complete exams, interpret results in context, diagnose a wide range of conditions and manage treatment.

How accurate is AI diabetic retinopathy screening?

Leading systems catch roughly 92 to 96 percent of cases in studies, with specificity typically between about 80 and 94 percent depending on the system and clinic setting.

Can a retina scan predict heart disease?

Research in oculomics shows retinal images can reflect cardiovascular risk, but these models are still being validated and are not yet a standard heart test.

Is AI eye screening FDA approved?

Yes, for diabetic retinopathy. LumineticsCore (formerly IDx-DR), EyeArt and AEYE-DS have FDA authorization for autonomous screening in adults with diabetes.