Automated Vision Assessment and Impairment Detection Through Gaze Analysis in Wet AMD Patients

Overview

The study aims to evaluate the Automated Vision Assessment and Impairment Detection through Gaze Analysis (AVIGA) system in the ability to detect and assess central vision dysfunction in a personalized, adaptive, objective, and automated way through eye gaze tracking in age-related macular degeneration (AMD). We also aim to develop a novel algorithm / scoring methodology for disease activity monitoring over time (delta-change). AVIGA visual risk prediction cut-off scores will be presented together with probabilities of occurrence of prespecified adverse clinical outcome.

Macula degeneration is more prevalent with ageing and can result in blurred or distorted vision, often accompanied by a dark patch blocking the center of the visual field. In the management of age-related macular degeneration (AMD), patients are required to attend regular check-ups at the specialist eye clinic by the clinician to monitor if their disease. The eye examinations that patients undergo during these clinic visits which may include fundoscopy and optical coherence tomography. A preventive treatment for exudative or wet AMD is the administration of an intravitreal injection of an anti-vascular endothelial growth factor (anti- VEGF) at these regular clinic sessions. Although anti-vascular endothelial growth factor (VEGF) injections are an effective treatment for many patients with Wet-AMD, there are several unmet needs in treatment of AMD and none of them cures the disease or reverses its course. Some patients do not respond to VEGF injections. There are no standardized treatment schedules, there is a large treatment burden, and visual loss continues over time. Additionally, the main drawback of anti-VEGF therapy is its high cost, which suppose a significant burden on health systems, and often makes such a regimen unaffordable in clinical practice. There is no treatment for GA. Therefore, the prevention of advanced disease like Wet-AMD and finding new and effective treatments remain a significant challenge. Advances in imaging and genetics and molecular technologies have led to the identification of new risk factors for disease progression, but not all have been evaluated in comprehensive prediction models. Perhaps, comprehensive prediction models could lead to the development of tailored, individualized therapy and improve the personalised healthcare.As such, the application of this Novel OCCUTRACK Technology to develop a comprehensive risk score algorithm and to estimate the risk scores to identify individuals at high risk for disease progression to advanced stages would result in earlier intervention and reduced burden of visual loss due to AMD. This approach could enable the tailored individualized Anti-VEGF Therapy to promote personalized medicine and improve the quality of life of patients with Wet-AMD. A Proof-of-Concept (POC) was completed by TTSH clinician and AStar-I2R scientist to co-develop and patent a software - Automated Vision Assessment and Impairment Detection through Gaze Analysis (AVIGA). A local medical incubator, Trendlines Medical Singapore, has licensed it from the research party. This led to the spin-off of a new company - Occutrack Pte Ltd to continue the collaboration with TTSH, focusing on the commercialization of the AVIGA. The AVIGA system incorporates an ocular tracking system with gaze tracking algorithms designed to provide a comprehensive assessment of a patient's vision. With this non-invasive technology, retinal specialists can monitor the real time progression and prognosis of patients with AMD while they are in the comfort of their own home without the need for manual or skilled intervention and expensive equipment. This project proposal is to evaluate the performance and accuracy of the AVIGA technology as a tool for determining AMD disease activity.