GPU-driven Mobile Device for Deep Learning Medical Diagnostics – at Scale, at the Edge, at ‘the Roof of the World’

By bringing to India, Bangladesh and Nepal a low-cost, GPU-driven mobile device trained to recognize chronic disease “signatures” in medical images, a healthcare start-up is building a distributed cognitive computing capability that provides advanced diagnostics to a resource-poor, population-dense region of the world.

If the eyes are windows into the soul, they also can help provide a view of a patient’s overall health. Breakdowns and leaks in the microscopic capillaries in the retina can be early indicators of diabetes, high blood pressure and vascular disease long before patients and doctors notice symptoms. Early detection enables patients to take preventive measures related to life-style issues, such as diet, smoking and exercise to head off the life-threatening toll that chronic diseases take.

Start-up SocialEyes has developed MARVIN (Mobile Autonomous Retinal Evaluation), an Android tablet based on the NVIDIA Shield mobile device, powered by the NVIDIA Tegra K1 processor with a 192-core NVIDIA Kepler GPU and 2.2 GHz quad-core CPU. Originally developed for gaming, Shield is also effective for medical image processing, according to SocialEyes CEO Nicholas Bedworth.

Read the rest of the story at www.enterprisetech.com/2016/03/03/21615/