As AI eye exams prove their worth, lessons for future tech emerge

The AI test has been bolstered by a reimbursement code from the Centers for Medicare & Medicaid Services, which can be difficult and time-consuming to obtain for breakthrough devices. But health care providers need that government approval to get reimbursement.

In 2021, CMS set the national payment rate for AI diabetic retinopathy screenings at $45.36 — quite a bit below the median privately negotiated rate of $127.81, according to a recent New England Journal of Medicine AI study. Each company has a slightly different business model, but they generally charge providers subscription or licensing fees for their software.

The companies declined to share what they charge for their software. The cameras can cost up to $20,000 and are either purchased separately or wrapped into the software subscription as a rental.

The greater compliance with screening recommendations that the machines make possible, along with a corresponding increase in referrals to specialists, makes it worthwhile, said Lindsie Buchholz, clinical informatics lead at Nebraska Medicine, which in mid-December began using Eyenuk’s system.

“It kind of helps the camera pay for itself,” she said.

Today, Digital Diagnostics’ system is in roughly 600 sites nationwide, according to the company. AEYE Health said its eye exam is used by “low hundreds” of U.S. providers. Eyenuk declined to share specifics about its reach.

The technology continues to advance, with clinical studies for additional cameras — including a handheld imager that can screen patients in the field — and looking at other eye diseases, like glaucoma. The innovations put ophthalmology alongside radiology, cardiology, and dermatology as specialties in which AI innovation is happening fast.

“They are going to come out in the near future — cameras that you can use in street medicine — and it’s going to help a lot of people,” said Espinoza.