A computer has been used to detect tiny specs of lung cancer in CT scan images that may otherwise be missed by radiologists . Researchers at the University of Central medicine ’s Computer Vision Research Center said their computer showed a 95 % accuracy rate compared with 65 % for humans . The technology is similar to the algorithms used by facial - recognition software . The National institute of Cancer and the Mayo Clinic reported more than 100 scans and researchers “ taught ” the computer to apply the correct diagnosis . They are now planning to test the technology in a hospital .
A computer has been taught to identify tiny specs of lung cancer in CT scan images that may otherwise be missed by radiologists. Researchers at the University of Central Florida’s Computer Vision Research Center said their computer showed a 95% accuracy rate compared with 65% for humans. The technology is similar to the algorithms used by facial-recognition software. The National Institute of Health and the Mayo Clinic provided more than 1,000 scans and researchers “taught” the computer to apply the correct diagnosis. They are now planning to test the technology in a hospital.