EyeArt AI Eye Screening System

Patient undergoes retinal imaging using the integrated fundus camera.

EyeArt system automatically analyzes the images.

A report is generated indicating the presence or absence of DR.

Patients with positive results are referred to an ophthalmologist for further evaluation.

Patients with negative results are scheduled for annual screening.

Patient undergoes retinal imaging.

EyeArt system analyzes the images for signs of AMD.

Report indicates the presence and severity of AMD.

Patients with AMD are referred for specialized treatment or monitored regularly.

Patients without AMD are scheduled for routine check-ups.

Patient undergoes retinal imaging during a routine diabetes check-up.

EyeArt system analyzes the images for glaucoma indicators.

The report provides a glaucoma risk assessment.

High-risk patients are referred to an ophthalmologist.

Low-risk patients continue with routine diabetes management and annual eye screening.

Mobile screening units equipped with EyeArt are deployed to remote areas.

Retinal images are captured by trained technicians.

Images are analyzed remotely by the EyeArt system.

Reports are transmitted to a central healthcare facility.

Patients requiring treatment are contacted for follow-up appointments.

Retinal images are collected from trial participants.

EyeArt system provides automated analysis of images.

Data is compiled and analyzed to evaluate treatment efficacy.

Results are used to validate new therapies and diagnostic tools.

Reports are generated for publication and presentation.

Baseline retinal images are captured using the EyeArt system.

Periodic follow-up images are collected.

The system compares the images over time to assess disease progression or treatment response.

Reports highlight any significant changes.

Treatment plans are adjusted as needed.