AI-Powered Retinal Imaging Unlocks Biomarkers for Early-Stage Diseases with Dr. Vicky Demas identifeye HEALTH TRANSCRIPT

Empowered Patient Podcast

Dr. Vicky Demas, CEO of identifeye HEALTH, is using AI-powered diagnostic algorithms and automation to improve the accessibility and quality of retinal imaging, focusing on the early detection of diabetic retinopathy. The identifeye technology makes it easier for patients to get screened for eye conditions in primary care or retail settings. The goal is to leverage the information from retinal scans to detect other eye conditions and identify biomarkers for other systematic diseases.

Vicky explains, "In general, we leverage AI and automation to solve workflow problems to make, first and foremost the capturing of good-quality retinal imaging. It's really easy to make sure that, for example, we can remove the barriers and access for that. We don't need to be at a specialist office for a lot of the screening conditions. Very specifically too, for our first application, we're focusing on diabetic retinopathy, which is a huge problem and one where accessibility to good quality screenings and early detection or early detection is a huge problem that we're hoping to help with."

"What it comes to is not about the camera or the resolution. Still, it is really about making sure that the capturing is of good quality, high quality. I'll call it an image that can be analyzed and interpreted. It can be done with someone with very little training upfront. Also, the information that you have to retain to run an exam is low. So, if you didn't run the device and are not operating it routinely, you don't have to remember what menu I opened and where the data is. And now I'm going to go and open this. We have used consumer product development principles to bring in usability and intuitive design, and of course, all powered by AI to automate all of that work."

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