Explainable Artificial Intelligence in Healthcare Systems

The twenty chapters in this book offer a comprehensive overview of the theory, algorithms, and applications of interpretable and explainable artificial intelligence. They cover recent advances in the field of healthcare, reflect the current discourse, and offer suggestions for future research. The book is divided into four sections: primitive concepts of XAI, XAI in smart tele-medicine and tele-health, public health application using XAI, and medical imaging classification using XAI. Thus, the book covers a comprehensive set of material ranging from fundamentals to image analysis employing XAI ideas.