@Radiology_AI

"Just Accepted" papers have undergone full peer review and have been accepted for publication in Radiology: Artificial Intelligence. This article will undergo copyediting, layout, and proof review before it is published in its final version. Please note that during production of the final copyedited article, errors may be discovered which could affect the content. To develop a model to estimate lung cancer risk using lung cancer screening CT and clinical data elements (CDE) without manual reading efforts. Two screening cohorts were retrospectively studied: the National Lung Screening Trial (NLST; 2002–2004) and an in-house Lung Screening Program (iLSP, 2015–2018).