Personalized Shared Eye-care Identification of Age-related Macular Degeneration Using Artificial Intelligence and Telemedicine by Matching Optometrist Office-based Sites With Clinical Supervision

Personalized Shared Eye-care Identification of Age-related Macular Degeneration Using Artificial Intelligence and Telemedicine in a Prospective, Exploratory, Multinational, Multicentre Cross-sectional Study Matching Optometrist Office-based Sites With Clinical Supervision

Office-based optometrist centres equipped with low-cost OCT devices can be used for screening of age-related macular degeneration. Matching next-door optometrist centres with clinical sites introduces a shared care service in an unprecedented and broad manner and offers timely and inclusive access to eye care for all citizens affected by the most frequent blinding disease in western countries.

The aim of the study is to detect AMD in a next-door office-based setting on an individual level using low-cost OCT, through a telemedicine feedback loop.

The specific aims of this study are:

• Setting up a network of optometrist centres matched to clinical sites to perform shared care to protect eyesight in the elderly population.
• Identify imaging biomarkers of age-related macular degeneration from OCT imaging.
• Give a risk estimation of progression using a one-time low-cost OCT scan

Inclusion Criteria:

• Age: 55-99 years old
• Preserved visual function, defined as visual acuity better than or equal to 0.3logMAR in one or both eyes

Exclusion Criteria:

• Refractive errors with mean spherical equivalent (MSE) greater than +/-6.00, with no limit to astigmatic component.