Affiliation:
1. Vellore Institute of Technology, India
Abstract
Artificial intelligence (AI) has revolutionized the healthcare industry by making decisions similar to human intelligence. However, the need to illustrate AI predictions based on healthcare data is a challenging task. To address this, Explainable AI (EXAI) has emerged to provide transparent explanations for machine-generated predictions and ensure accuracy in healthcare. This review emphasizes the importance of adopting EXAI in healthcare and discusses its concept of providing reliable AI-based solutions. The authors analyze the most recent developments in EXAI-based technologies and present research findings on their extensive implementation aspects, including the challenges and limitations of existing models. The importance of EXAI in healthcare extends from early disease prediction to intelligent diagnosis. Furthermore, this survey provides insights into the future perspectives of EXAI in healthcare, offering valuable research directions. Integrating EXAI into healthcare can enhance transparency, interoperability, and trust in AI-driven healthcare solutions.