Detecting lung nodules on CT scans is central to diagnosing cancer and the earlier that can be accomplished the better the outcome. Currently, only about two thirds of detectable nodules are actually spotted by trained professionals. Researchers at University of Central Florida have been working on an artificial intelligence program that can review CT scans and spot nodules with near perfect accuracy. Their software, called S4ND, relies on deep learning techniques, coupled with more than 1,000 previously captured lung CT scans, to point out suspect lesions. The Central Florida team built a 3D convolutional neural network to power S4ND so that it doesn't require any input from the user to produce the results.