Based on MP‐NN, the tri modal model MPI‐RF integrating SMFs, tumor marker CEA, and image features via random forest demonstrates significantly higher performance than the clinical models (Mayo Clinic and Veterans Affairs) and the image artificial intelligence in pulmonary nodule classification (p < 0.001). This evidence concerns the gene CEACAM5 and neoplasm.