Enhancing Trust and Transparency: Explainable AI in Healthcare Applications

Abstract

Explainable AI (XAI) is increasingly crucial in healthcare, where AI-driven decisions impact patient outcomes. This paper explores the integration of XAI techniques in healthcare applications, their benefits, challenges, and potential solutions. We discuss how XAI can enhance trust in AI systems, improve decision-making processes, and address ethical concerns. The paper also presents case studies and future directions for research.