医療データ解析とヘルスケア応用のための説明可能なＡＩ Explainable Artificial Intelligence for Medical Data Analytics and Healthcare Applications

Naik, Ganesh R (EDT)

Springer Verlag, Singapore（2026/01発売）

• 製本 Hardcover:ハードカバー版
• 言語 ENG
• 商品コード 9789819538102

Full Description

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

This book summarizes and categorize the explainable AI types and highlight the algorithms used to increase interpretability in medical data and imaging topics. In addition, it focuses on the challenging explainable AI problems in medical applications and provide guidelines to develop better learning models using explainable AI concepts in medical image and text analysis. 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.

Contents

.- Explainable Artificial Intelligence (AI): Introduction.- Explainable AI: An Overview of Explainability.- Explainability for Tabular Data.- Explainable AI: Deep learning.- Explainable AI: Fuzzy Decision Tree (FDT).- Neuro Explainable AI.- Local Interpretable Model-agnostic Explanations (LIME).- Contextual importance and utility (CIU).- Challenges of Explainable AI: Medical data.- Explainable AI for X-ray image analysis.- Explainable AI: CT and Ultrasound.- Explainable AI for disease prediction.