Today's AI algorithms require tens of thousands of expensive medical images to detect a patient's disease. What if we could drastically reduce the amount of data needed to train an AI, making diagnoses low-cost and more effective? TED Fellow Pratik Shah is working on a clever system to do just that. Using an unorthodox AI approach, Shah has developed a technology that requires as few as 50 images to develop a working algorithm -- and can even use photos taken on doctors' cell phones to provide a diagnosis. Learn more about how this new way to analyze medical information could lead to earlier detection of life-threatening illnesses and bring AI-assisted diagnosis to more health care settings worldwide.

Pratik Shah: How AI is making it easier to diagnose disease

How AI is making it easier to diagnose disease

Early disease detection is pivotal, yet hindered by costly diagnostics. AI offers a beacon of hope, reducing reliance on expensive imaging.

Revolutionizing disease detection, AI now requires only 50 standard photos to diagnose, bypassing costly medical imaging.

From billions of data points derived from a single image, AI innovatively minimizes the resources needed for medical diagnoses.