ABSTRACT
This chapter provides an extensive review and analysis of the applications of Explainable Artificial Intelligence (XAI) in the fields of medical diagnosis and surgery. Readers will gain a thorough understanding of how XAI can enhance the accuracy and interpretability of disease diagnosis, benefiting both healthcare professionals and patients. The chapter emphasizes the importance of transparency in decision-making processes, building trust in both diagnoses and the technology supporting them. Moreover, it highlights the potential for XAI to contribute to personalized treatment plans by identifying specific factors influencing diagnoses. Ultimately, readers will gain insights into the interdisciplinary nature of AI and medicine, bridging the gap between these fields and offering valuable perspectives for future researchers looking to create effective medical XAI applications. This chapter underscores the significance of XAI in improving patient outcomes and enhancing our understanding of disease development factors, while also acknowledging the need for ongoing research to refine and optimize XAI models for clinical use.
