Development and validation of a CT-based radiomics machine learning model for differentiating immune-related interstitial pneumonia

Using the random forest method of machine learning, we successfully constructed a CT-based radiomics CIP differential diagnostic model that can accurately, non-invasively, and rapidly provide clinicians with etiological support for pneumonia diagnosis.