The BMJ Open study by Li et al. presents a machine learning framework for predicting lymph node metastasis in gastric cancer. By integrating clinical features like tumor size and T category, the model achieved promising accuracy in cross-validation, suggesting its potential as a personalized risk assessment tool in oncology.