Explainable AI (XAI) refers to methods and techniques that make the outcomes of artificial intelligence (AI) models more understandable to humans. In the context of cancer research and treatment, XAI aims to provide transparency in AI-driven decisions, ensuring that clinicians and researchers can trust and effectively utilize AI systems.
