Interpretable AI‐assisted clinical decision making for treatment selection for brain metastases in radiation therapy

Interpretable CNN models were successfully developed to use CT/MR images and non-image-based clinical parameters to predict the treatment selection between WBRT and SRS for brain metastases patients. The interpretability makes the model more transparent, carrying profound importance for the prospective integration of these models into routine clinical practice, particularly for informing real-time clinical decision-making.