April 12, 2018
The FDA has granted diagnostics company IDx’s De Novo request to market its AI-based software system for the autonomous detection of diabetic retinopathy in adults who have diabetes, called IDx-DR. This decision represents the first AI-based diagnostic system authorized by the FDA for commercialization in the US that can provide a screening decision without the need for clinician interpretation,...
March 14, 2018
In new study published in Ophthalmology, Google AI researchers found that they could improve their AI disease detecting software by using a small subset of images adjudicated by ophthalmologists that specialize in retinal diseases. "We believe this work provides a basis for further research and raises the bar for reference standards in the field of applying machine learning to medicine," Dr....
March 12, 2018
Worldwide there are 422 million people living with diabetes, according to World Health Organization estimates. The condition can lead complications, including diabetic retinopathy, which can result in blindness. However, a recent study suggests artificial intelligence can help identify diabetic retinopathy early. Researchers at the Medras Diabetes Research foundation in Chennai India found that a...
August 8, 2017
Kavya Kopparapu might be considered something of a “whiz kid.” After all, she had yet to enter her senior year of high school when she started Eyeagnosis, a smartphone app and 3D-printed lens that allows patients to be screened for diabetic retinopathy with a quick photo, avoiding the time and expense of a typical diagnostic procedure. In June 2016, Kopparapu’s grandfather had recently been...
IBM researchers use deep learning, neural networks to screen for diabetic retinopathy with 86 percent accuracy
April 24, 2017
Out of the 422 million people around the world living with diabetes, one in three of them will develop diabetic retinopathy (DR), a common condition that can lead to permanent blindness if left untreated. While early detection and treatment can dramatically reduce that risk, a third of people with diabetes have never even been screened for DR, as many are living in low-income, medically...
JAMA study shows telemedicine can improve screening access, efficiency for diabetes-caused blindness in LA County safety net populations
April 11, 2017
While diabetic retinopathy is the leading cause of blindness among working age adults in the United States – and one of the most common complications from all types of diabetes – early detection and treatment can reduce that risk by up to 95 percent. However, the prevalence of diabetic retinopathy among uninsured safety net patients at the Los Angeles Department of Health Services– which has the...
Google researchers use deep learning to detect diabetic retinopathy with upwards of 90 percent accuracy
November 29, 2016
A team of Google researchers has published a paper in the Journal of the American Medical Association showing that Google's deep learning algorithm, trained on a large data set of fundus images, can detect diabetic retinopathy with better than 90 percent accuracy. "These results demonstrate that deep neural networks can be trained, using large data sets and without having to specify lesion-based...
April 8, 2013
The FDA has granted Class II prescription-only 510(K) clearance for an iPhone-enabled vision test. The software, called myVisionTrack, was developed by Vital Art and Science. The FDA clearance applies to the software when run on an iPhone 4S. Vital Art and Science has developed the test for patients with serious degenerative eye conditions such as diabetic retinopathy (DR) and age-related macular...
March 18, 2016
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