Translating Artificial Intelligence Into Clinical Care

The intellectual roots of "deep learning," which power the commodity and consumer implementations of present-day artificial intelligence, were planted even earlier in the 1940s and 1950s with the development of "artificial neural network" algorithms. These algorithms are very loosely based on the way in which the brain's web of neurons adaptively becomes rewired in response to external stimuli to perform learning mid pattern recognition. Beam and Kohane comment on Gulshan et al's study that evaluates the use of deep learning for detection of diabetic retinopathy and macular edema.