Abstract
Artificial intelligence (AI) studies are progressing at a breakneck pace, with prospective programs in healthcare industries being established. In healthcare, there has been an extensive demonstration of the promise of AI through numerous applications like medical support systems and smart healthcare. Explainable artificial intelligence (XAI) development has been extremely beneficial in this direction. XAI models allow smart healthcare equipped with AI models so that the results generated by AI algorithms can be understood and trusted. Therefore, the goal of this chapter is to discuss the utility of XAI in systems used in healthcare. The issues, as well as difficulties related to the usage of XAI models in the healthcare system, were also discussed. The findings demonstrate some examples of XAI's effective medical practice implementation. The real-world application of XAI models in healthcare will significantly improve users' trust in AI algorithms in healthcare systems.
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