Today’s AI algorithms necessitate the thousands of expensive medical idols to spy a patient’s disease. What if we could drastically reduce the amount of data needed to train an AI, moving identifications low-cost and more effective? TED Fellow Pratik Shah is working on a ingeniou structure to do only that. Using an unorthodox AI approach, Shah has developed a engineering that requires as few as 50 epitomes to develop a acting algorithm — and can even use photos made on doctors’ cell phones to provide a diagnosis. Learn more about how this new way to analyze medical information could lead to earlier observation of life-threatening afflictions and creating AI-assisted diagnosis to more health care designates worldwide.

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