Explainable AI in Clinical Practice

Know about the book -

Explainable AI in Clinical Practice is written by Arvind Panwar and published by Academic Press. It's available with International Standard Book Number or ISBN identification 044344112X (ISBN 10) and 9780443441127 (ISBN 13).

Explainable AI in Clinical Practice: Methods, Applications, and Implementation delivers an essential roadmap for bridging advanced artificial intelligence technologies with real-world healthcare settings. As AI increasingly supports clinical decision-making, the demand for clarity and trust in these systems is paramount. This book assembles leading experts to present a robust framework that ensures AI-driven recommendations are transparent, interpretable, and grounded in solid clinical judgment. Through in-depth exploration of diagnostic support and treatment planning, readers gain practical strategies for making AI tools understandable and accountable, supporting high-quality patient care and ethical standards throughout the process.In addition, the book provides real-world case studies and discusses ethical considerations to help readers transform opaque AI models into reliable healthcare assets. It offers targeted solutions for a broad range of stakeholders, including clinicians looking to confidently adopt AI and technical teams seeking clear implementation guidelines. - Provides a comprehensive framework for implementing explainable AI in healthcare, ensuring that AI-driven decisions are transparent, trustworthy, and clinically sound - Includes real-world case studies that illustrate practical applications of explainable AI - Offers targeted solutions for diverse stakeholders in the healthcare AI ecosystem