Textbook in PDF format

This book provides a comprehensive review of the latest research in the area of Explainable Artificial Intelligence (XAI) in health informatics. It focuses on how explainable AI models can work together with humans to assist them in decision-making, leading to improved diagnosis and prognosis in healthcare. This book includes a collection of techniques and systems of XAI in health informatics and gives a wider perspective about the impact created by them. The book covers the different aspects, such as robotics, informatics, drugs, patients, etc., related to XAI in healthcare. The book is suitable for both beginners and advanced AI practitioners, including students, academicians, researchers, and industry professionals. It serves as an excellent reference for undergraduate and graduate-level courses on AI for medicine/healthcare or XAI for medicine/healthcare. Medical institutions can also utilize this book as reference material and provide tutorials to medical professionals on how the XAI techniques can contribute to trustworthy diagnosis and prediction of the diseases. This book is a collection of 12 chapters that provide an overview of recent advances in this area, that is, how Explainable Artificial Intelligence techniques help provide trustworthy solutions in healthcare. The target audience of this book is researchers, practitioners, and students. A brief description of each chapter is given below. Introduction to Explainable AI Explainable AI Methods and Applications Unveil the Black-Box Model for Healthcare Explainable AI Explainable AI: Methods, Frameworks, and Tools for Healthcare 5.0 Explainable AI in Disease Diagnosis Explainable Artificial Intelligence in Drug Discovery Explainable AI for Big Data Control Patient Data Analytics Using XAI: Existing Tools and Case Studies Enhancing Diagnosis of Kidney Ailments from CT Scan with Explainable AI Explainable AI for Colorectal Cancer Classification Explainable AI (XAI)-Based Robot-Assisted Surgical Classification Procedure Explainable AI Case Studies in Healthcare