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POWERED BY INTEL, A DEEP LEARNING SYSTEM IS SAVING INDIA FROM BLINDNESS




POWERED BY INTEL, A DEEP LEARNING SYSTEM IS SAVING INDIA FROM BLINDNESS

This deep studying and AI system can store many lives

A new deep mastering version may be an answer for diabetic retinopathy. Sankara Eye Foundation and Leben Care, a Singapore-primarily based company are collaborating to provide diabetic retinopathy relief in India. The organizations are working on an Intel-powered, cloud-primarily based artificial intelligence solution that makes use of deep getting to know to detect retinal situations within a brief span. Called Netra.AI, the accuracy of this system matches that of human medical doctors and might drastically reduce screening burdens.

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Prakash Mallya, vice chairman and managing director of income, advertising, and communications organization at Intel India says, “The use of AI to improve disorder detection and prevention is a crucial step for the healthcare enterprise and a large soar for humankind. India has one in every of the most important diabetic populations in the world and diabetic retinopathy is the predominant purpose of imaginative and prescient loss and blindness in people of working age. WIth Netra.AI, Sankara Eye Foundation, and Leben Care have leveraged the energy of Intel Xeon Scalable processors and built-in Intel Deep Learning (DL) Boost to as it should be locate DR and permit timely remedy to efficaciously combat avoidable vision impairment and blindness in diabetic sufferers.”

An Aid For India

India has one among the most important diabetic populations within the world and that makes this new development important for the u . S .. According to contemporary estimates, the whole variety of cases would possibly increase to ninety eight million by using 2030 which makes diabetic retinopathy a main reason of vision loss and blindness in adults. Early detection of this condition and treatment can prevent the damage however rural regions of India lack educated retinal specialists who can inspect this and act on time. Hence, with out the required sources, it is difficult to conduct powerful screenings.

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Dr. Kaushik Murali, president of clinical management, excellent, and schooling at Sankara Eye Foundation in India says, “Technology and AI are democratizing healthcare get entry to, mainly in screening for illnesses. Our group at Sankara Eye Foundation has centered on our imaginative and prescient to dispose of useless blindness from India. The modern-day solution, Netra.AI, in which we had a key function inside the layout and development with Leben Care, makes use of strong AI-enabled systems from Intel. It is an instance of the way like-minded collaborators can create significant and impactful solutions for diverse demanding situations that face humanity.”

Netra.AI – A Revolutionary Application Of Deep Learning Technology

The Intel-powered Netra.AI capabilities with the aid of analyzing pics from transportable and technician-operated digital camera gadgets that offer on-spot diabetic retinopathy grading outcomes with the help of a cloud-primarily based net portal. With the assistance of synthetic intelligence algorithms and neural networks, Netra.AI detects diabetic retinopathy stages.

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The decided group behind Netra.AI and its development believes that it could subsequently have extra packages like detecting other retinal situations and glaucoma. This new technology can also store huge time for healthcare specialists, giving them time to consciousness on different critical components.

Until now, the Netra.AI gadget has screened about 3,093 sufferers in India and recognized around 742 folks that were prone to imaginative and prescient loss and blindness. The system puts together distinctive reports in much less than 2 mins which permits immediate diagnosis. It depends on Intel Xeon Scalable processors with in-constructed Deep Learning Boost and Intel Advanced Vector Extension 512 acceleration. This software of deep mastering can save many lives and enhance the quality of lifestyles inside the society we live in.



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