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The International AI Diabetic Retinopathy
(DR) Algorithm Challenge

OVERVIEW

In the face of the rapidly growing burden of diabetes worldwide, the need for automated techniques for the assessment of Diabetic Retinopathy (DR) has long been recognized. The recent emergence of deep learning-based Artificial Intelligence grading of DR represents an advancement of artificial neural networks that permit improved accuracy of disease classification (sensitivity and specificity >90%) from raw image data. These systems offer great promise to increase the efficiency, accessibility and affordability of DR screening programs. The goal of this competition is to encourage multi-disciplinary collaboration and promote the use of Artificial Intelligence as a novel application in telemedicine screening for eye diseases among the medicine and technology communities.

 

about competition

Imagine being able to detect blindness before it happened.

Millions of people suffer from diabetic retinopathy, the leading cause of blindness among working aged adults. Aravind Eye Hospital in India hopes to detect and prevent this disease among people living in rural areas where medical screening is difficult to conduct. Successful entries in this competition will improve the hospital’s ability to identify potential patients. Further, the solutions will be spread to other Ophthalmologists through the 4th Asia Pacific Tele-Ophthalmology Society (APTOS) Symposium

Currently, Aravind technicians travel to these rural areas to capture images and then rely on highly trained doctors to review the images and provide diagnosis. Their goal is to scale their efforts through technology; to gain the ability to automatically screen images for disease and provide information on how severe the condition may be.

In this synchronous Kernels-only competition, you'll build a machine learning model to speed up disease detection. You’ll work with thousands of images collected in rural areas to help identify diabetic retinopathy automatically. If successful, you will not only help to prevent lifelong blindness, but these models may be used to detect other sorts of diseases in the future, like glaucoma and macular degeneration.

Get started today!

Join Competition


549

Teams

583

Competitors

1,930

Entries




APTOS SECRETARIAT

c/o Centre for Eye Research Australia, Level 7 Peter Howson Wing,
32 Gisborne Street, East Melbourne, VIC 3002, Australia
Tel: (+61) (0)3 9929-8175
E-mail: secretariat@asiateleophth.org

 

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