Integrating the power of machine learning with OcuVue™, RetTech can now deliver a highly accurate, yet low-cost solution for the early detection of potentially devastating eye diseases that if left untreated, can lead to blindness.

Our guided referral approach will allow many more patients to be regularly tested with the goal of building a stronger alliance between primary care and vision care through advanced machine learning. Vision specialists will still do what they do best – diagnose and treat, and helping to save the eyesight of many more people.

We have developed an end-to-end machine learning pipeline that ingests both high- and low-resolution retinal images, processes them for machine learning analysis, and constructs visualizations to augment clinician decision-making.

Although the flexibility of our software pipeline enables for assessment of any disease endpoint of interest, we have developed our first algorithm for the detection of diabetic retinopathy due to its high prevalence and insidious onset.

The resulting heatmap and data map aim to orient the clinician toward pathologies in the retinal image that may escape the naked eye. This technology, coupled with our modular retinal camera, will allow more clinicians to screen patients across all settings, which we hope will enable greater access to world-class care and ultimately reduce the disease burden associated with diabetic retinopathy and other eye conditions around the world.

*The OcuVue™ prototype and associated technologies are not commercially available.