Self-eXplainable AI Methods for Medical Image Analysis

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Explore the burgeoning field of Self-eXplainable Artificial Intelligence (S-XAI) in medicine, a response to the pressing need for transparency in AI applications. Delve into its taxonomy, encompassing input, model, and output explainability, and assess evaluation criteria focusing on human-centred and functionality-grounded metrics. Navigate current challenges, including establishing benchmarks and optimising the balance between performance and interpretability in S-XAI and foundation models....