ORANGE COUNTY, Fla. (WOFL FOX 35) - University of Central Florida researchers have a novel system to find lung tumors. It uses concepts very similar to facial recognition systems. Computers are "shown" hundreds of CT scans of real lung tumors. Using artificial intelligence, the computers "learn" what tumors are and what they look like. UCF researchers say their method is much more accurate than current methods which require radiologists to inspect the scans by hand.

AsianScientist (July 7, 2017) - Researchers at Beihang University in China have developed an artificial neural network that can aid lung cancer detection. Their results have been published in Science China Information Sciences. Lung cancer is one of the most deadly cancers, with a five-year survival rate of 16 percent. Early detection is important as the survival rate rises to 52 percent if lung cancer is diagnosed in the early stages. In clinical practice, computer tomography (CT) can capture fine-grained details for both lung nodules and surround structures, acting as the golden standard for diagnosis.