(20), employed machine learning techniques (including random forest and LightGBM) for predicting HER2 status in breast cancer, our model achieved superior performance by combining multi-sequence imaging and clinical data with deep learning, resulting in a higher AUC and more reliable predictions. Here, ERBB2 is linked to breast carcinoma.