This study is committed to constructing a machine learning model based on multiparametric MRI radiomics features combined with clinical pathological features, aiming to evaluate its predictive ability and clinical application value in predicting the expression status of endometrial cancer target therapy-related proteins (PTEN, PIK3CA, and mTOR). This evidence concerns the gene PIK3CA and endometrial cancer.