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Professionals & patients

How Eyenai Works

Eye Screening

An ophthalmic technician or trained nurse screens the patient’s eye via a specialized camera.

Image Upload to Eyenai

The captured fundus image is uploaded into Eyenai and then to the cloud for diagnosis by the AI model.

Immediate Result

Eyenai instantly provides the screening result, which can then be conveyed to the patient.

Diabetic Retinopathy

Diabetic retinopathy is a diabetes-related complication that affects the eyes. It's caused by damage to the blood vessels of the light-sensitive tissue at the back of the eye (retina). Over time, diabetes can cause damage to these vessels, leading to the condition.

Diabetic retinopathy often has no early warning signs. Regular eye exams are crucial for early detection and treatment, which can prevent or delay blindness. Treatment options depend on the stage of the disease and can include laser treatment, medication injections into the eye, or surgery in more advanced cases. Controlling blood sugar levels, blood pressure, and cholesterol can also help manage or slow the progression of diabetic retinopathy.

Stages of Diabetic Retinopathy

1- Non-proliferative diabetic retinopathy (NPDR): This is the early stage of the disease, where symptoms might be mild or non-existent. In NPDR, the blood vessels in the retina weaken, bulge, and may leak fluid into the surrounding retina, leading to swelling and blurred vision.

2- Proliferative diabetic retinopathy (PDR): This is the more advanced stage. It occurs when the damaged blood vessels close off, causing the growth of new, abnormal blood vessels in the retina. These new vessels are fragile and can leak blood and fluid, potentially leading to serious vision problems, including blindness.

Symptoms of Diabetic Retinopathy

- Blurry or fluctuating vision

- Impaired color vision

- Dark or empty areas in your vision

- Vision loss

Normal Vs. Diabetic Retinopathy

swipe to see the difference between regular and diabetic retinopathy vision

Challenges

Increased test demands

The demand for medical care is rising as retinal conditions become increasingly widespread. Which caused hospitals and clinics the inability to cover the medical requirements for diagnostics and eye examination.

Delay in traditional examination

When compared with the present technology that detects symptoms within minutes, traditional examination lacks in many ways. In addition to that with this technology a larger number of patients can be accommodated.

A small pool of specialized doctors

The limited pool of specialized doctors has further decreased as the number of patients has increased.

High cost of examination

All of the mentioned factors are contributing to the high cost of examination for patients as well as health care providers, making the examination a difficult challenge to solve.

Limited availability of appointments

The appointment list tends to be long with big time intervals, which causes a challenge for the patients as they wait their turn, their case usually worsens making treatment more difficult.

Accrued Benefits

Gained Values

Hospitals clinics and other medical institutions

Eyenai can help medical institutions in fast-tracking the screening process, allowing more people to be screened, significantly enhance the inspection process; ensuring a smooth mechanism, and automating the process of examination so that little to no medical staff is occupied in this step.

Ophthalmologists and eye health specialists

Eyenai is powered by AI and machine learning to produce clear and precise results to support all Opthalmologists and eye health specialists. It also comes with a platform that smoothly organizes and manages patient visits; saving the medical specialist’s time.

Diabetic patients

Eyenai provides a quick and safe eye examination with minimal wait time. It guarantees quicker and more accurate results with the help of AI while minimizing the need for a second opinion and helps patients with providing early diagnosis which results in early treatment.

Try Eyenai now

Eyenai leverages the power of artificial intelligence to effectively detect and diagnose potential health concerns related to the human eye

Try it now

Are you interested in using Eyenai for your organization?

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