Enhancing Trust in Healthcare through Interpretable AI Systems: A Systematic Review of Processes, Methods, and Challenges

This paper provides a comprehensive review of the processes, methods, and challenges associated with implementing interpretable machine learning (IML) and explainable artificial intelligence (XAI) within healthcare and medical domains, with the goal of improving communication and trust between AI systems and clinicians.