Introduction to Explainable AI in Healthcare
Karthik Srinivasan, Chaithanya Kumar Viralam Ramamurthy, Saravanan Matheswaran, Shermin Shamsudheen · 2025
This paper provides an introduction to Explainable AI (XAI) in healthcare focusing on enhancing transparency and trust in AI-driven systems. It begins with a historical overview of AI's evolution in healthcare tracing its roots from deep learning and current machine learning to expert system approaches. The transformative potential of AI in healthcare is highlighted emphasizing its ability to increase the precision of diagnoses, customize treatment regimens, and simplify clinical workflows. The importance of transparency and trust in AI-driven healthcare systems is underscored leading to the need for Explainable AI techniques.