Radiomics and clinical data for the diagnosis of incidental pulmonary nodules and lung cancer screening: Radiolung integrative predictive model

Early diagnosis of lung cancer (LC) is crucial to improve survival rates. Radiomics models hold promise for enhancing LC diagnosis. This study assesses the impact of integrating a clinical and a radiomic model based on deep learning to predict the malignancy of pulmonary nodules (PN).