Researchers have developed an artificial intelligence system to detect lung cancer on scans that radiologists fail to detect. The AI method can notice specks of lung cancer with about 95 percent accuracy compared with 65 percent by radiologists, according to research conducted by the University of Central Florida's Computer Vision Research Center. The researchers published their findings in the Cornell University Library before the Medical Image Computing and Computer Assisted Intervention Society's conference next month in Granada, Spain. Computed tomography, or CT, scans use computer-processed combinations of many X-ray measurements taken from different angles to produce cross-sectional images of specific areas of a scanned area. "I believe this will have a very big impact," Ulas Bagci, an engineering assistant professor at UCF, said in a press release.