OPTimizing surveillance in lung cancer survivors with novel IMAging biomarkers and deep-Learning (OPTIMAL)
This multi-site collaboration will evaluate patterns of imaging surveillance, characterize the benefits and harms of imaging surveillance, develop and validate risk prediction models that incorporate imaging biomarkers, and adapt a deep learning model to predict subsequent risk for lung cancer…