An integrated radiopathomics machine learning model to predict pathological response to preoperative chemotherapy in gastric cancer

Accurately predicting the pathological response to chemotherapy before treatment is important for selecting the appropriate treatment groups, formulating individualized treatment plans, and improving the survival rates of patients with gastric cancer (GC).