These days, there's an explosion of digital imaging technology for almost every part of the body. There are the familiar types of imaging everyone knows, like CT scans, MRIs, ultrasound, and of course, X-rays. But now doctors and medical researchers are also exploring newer types of digital imaging technology, such as Optical Coherence Tomography, or OCT.

OCT uses near-infrared light that penetrates just a couple of millimeters into a tissue such as an artery wall or the retina of the eye. By collecting the light that scatters back, OCT can produce an incredibly high-resolution cross section or even a 3D reconstruction of the tissue. Ophthalmology is one of the fields putting OCT to use most aggressively, partly because it’s perfect for showing cross-sections of the retina, the iris, the cornea, or the lens on the scale of micrometers.

But as you can imagine, every time an ophthalmologist or optometrist uses an OCT scanner, the procedure generates a huge amount of digital data. Harry's guest, Carlos Ciller, started a company called RetinAI whose mission is to help eye doctors, eye surgeons, and scientists studying the eye manage and analyze all that information. And not just information from OCT, but from other types of eye imaging like fundus photography and fluorescent angiography.

At one level, RetinAI is just doing its part to cure a huge headache we’ve talked about again and again on the show, which is the lack of standards and interoperability in the healthcare IT world. They want to make it possible to store and analyze digital images of the eye no matter what technology or device was used to capture it. But more intriguingly, once that data is stored in a structured way, it’s possible to use machine learning and other forms of artificial intelligence to sort through image data and identify pathologies or double-check the judgments of human physicians. RetinAI is developing algorithms that could make it easier to diagnose and treat common conditions like age-related macular degeneration—a form of damage to the retina that causes vision loss in almost 200 million people around the world. Ciller told me he started out his career as a telecom engineer and never thought he’d wind up running a 40-person company that works to help people with vision problems. But at a time when there’s so much new data available to diagnose disease rand identify the best treatments, journey’s like his—from the computer lab to the clinic—are becoming more and more common.  

For a full transcript of this episode, please visit our episode page at http://www.glorikian.com/podcast 

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