The US Food and Drug Administration (FDA) permitted on Wednesday the marketing of the first medical device to use Artificial Intelligence (AI) to detect greater than a mild level of the eye disease diabetic retinopathy in adults who have diabetes.
Diabetic retinopathy, the most common cause of vision loss for people living with diabetes, occurs when high levels of blood sugar lead to damage in the blood vessels of the retina, the light-sensitive tissue in the back of the eye, Xinhua reported.
“Early detection of retinopathy is an important part of managing care for the millions of people with diabetes, yet many patients with diabetes are not adequately screened for diabetic retinopathy since about 50 percent of them do not see their eye doctor on a yearly basis,” said Malvina Eydelman, M.D., director of the Division of Ophthalmic, and Ear, Nose and Throat Devices at the FDA’s Center for Devices and Radiological Health.
“Today’s decision permits the marketing of a novel artificial intelligence technology that can be used in a primary care doctor’s office,” Eydelman said.
The device, called IDx-DR, is a software programme that uses an AI algorithm to analyse images of the eye taken with a retinal camera called the Topcon NW400, according to FDA.
A doctor uploads the digital images of the patient’s retinas to a Cloud server on which IDx-DR software is installed.
If the images are of sufficient quality, the software provides the doctor with one of two results, either “more than mild diabetic retinopathy detected: refer to an eye care professional” or “negative for more than mild diabetic retinopathy: re-screen in 12 months.”
IDx-DR is the first device authorised for marketing that provides a screening decision without the need for a clinician to also interpret the image or results, which makes it usable by health care providers who may not normally be involved in eye care.
The FDA evaluated data from a clinical study of retinal images obtained from 900 patients with diabetes at 10 primary care sites.
In the study, IDx-DR was able to correctly identify the presence of more than mild diabetic retinopathy 87.4 percent of the time and was able to correctly identify those patients who did not have more than mild diabetic retinopathy 89.5 percent of the time.