Integrating Explainable Artificial Intelligence In Healthcare: Models, Applications, And Challenges
This paper will explore the role of XAI in advancing healthcare systems by examining various explain ability models and techniques, including feature attribution methods, model-agnostic approaches, and interpretable machine learning frameworks. It will highlight key applications of XAI in medical imaging, clinical decision support systems, disease prediction, and personalized medicine, where interpretability will be…