MA20.10 Lung Cancer Prediction Using Deep Learning Software: Validation on Independent Multi-Centre Data

Artificial Intelligence software has shown promise in predicting malignancy in indeterminate CT detected pulmonary nodules. This study aimed to assess the accuracy of a convolutional neural network (CNN) based lung cancer prediction software on an independent dataset of indeterminate incidentally detected nodules in a retrospective European multicentre trial. The software was trained using the US National Lung Screening Trial (NLST) dataset...