logo
logo

Google Explores Use Of Machine Learning To Detect Diabetic Eye Disease

avatar
Gladys Wiggins
Nov 30, 2016 13:00
img

Researchers from Google publish a paper describing a new deep learning algorithm for detecting signs of diabetic retinopathy.

Google is hoping to apply its machine learning expertise to help doctors identify patients at risk of diabetic retinopathy DR early enough in the disease cycle to be able to treat them effectively.

Researchers from the company this week published a paper in the Journal of the American Medical Association JAMA describing a deep learning algorithm for interpreting early signs of DR from retinal photographs.

The paper titled Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs is based on data that Google researchers developed with help from doctors and researchers in various hospitals and universities in the U.S. and India.

The goal is to help doctors screen and identify patients in need for DR treatment especially in areas where the specialized ophthalmological skills needed for such diagnosis are in short supply.

Diabetic retinopathy DR is the fastest growing cause of blindness, with nearly 415 million diabetic patients at risk worldwide, Google researchers Lily Peng and Varun Gulshan said in a blog post this week.

collect
0
avatar
Gladys Wiggins
Nov 30, 2016 13:00
guide
Zupyak is a free content platform for publishing and discovering stories, software and startups.