Explainable Artificial Intelligence for Medical Data Analytics and Healthcare Applications

Introduction

This book discusses explainable Artificial Intelligence (AI) and its applications in healthcare, providing a broad overview of state-of-the-art approaches for accurate analysis and diagnosis.

Technologies and Techniques

It encompasses computational vision processing techniques that handle complex physiological information, electronic healthcare records, and medical imaging data that assist in earlier prediction.

Explainable AI in Healthcare

This book explores how explainable AI methods provide a solution for the future of medical data analytics, precision medicine, and highlights the challenges and considerations that must be addressed.

AI Types and Algorithms

This book summarizes and categorizes the explainable AI types and highlights the algorithms used to increase interpretability in medical data and imaging topics.

Challenges and Guidelines

In addition, it focuses on the challenging explainable AI problems in medical applications and provides guidelines to develop better learning models using explainable AI concepts in medical image and text analysis.

Future Directions

Furthermore, this edited book will provide future directions to guide developers and researchers for future prospective investigations on clinical topics, particularly on applications with medical data/imaging.