Prediction of lung cancer risk at follow-up screening with low-dose CT: a training and validation study of a deep learning method

Abstract

ML tool that recognizes patterns in both temporal and spatial changes as well as synergy among changes in nodule and non-nodule features may be used to accurately guide clinical management after the next scheduled repeat screening CT.