EGFR and non-small cell lung carcinoma: We employed 3D deep learning algorithm to extract features, developed and validated the radiomics model, utilized weak supervised deep learning and multi-instance learning to refine the pathomics model, conducted an in-depth analysis of clinical features using several machine learning techniques, resulting in the formulation of clinical signature and ultimately achieved innovatively Nomogram through the use of fusion algorithms to predict EGFR mutation status and risk stratification in NSCLC.