Interpretability in cancer research refers to the ability to understand and explain the mechanisms, predictions, and outcomes associated with cancer diagnosis, treatment, and prognosis. It aims to make complex medical data and models comprehensible to clinicians, researchers, and patients. This ensures that the decision-making process in cancer management is transparent and trustworthy.
