Description: Explainable AI in Clinical Practice: Methods, Applications, and Implementation bridges the gap between artificial intelligence capabilities and their practical implementation in healthcare. The book explores applications of explainable AI in diagnostic support and treatment planning, offering insights into making AI systems interpretable and accountable. Through real-world case studies and ethical frameworks, readers learn to transform opaque AI systems into tools that enhance clinical practice while maintaining high patient care standards. This volume unites leading experts to provide a comprehensive framework for implementing explainable AI, ensuring that AI-driven decisions are transparent, trustworthy, and clinically sound.
Targeted solutions in the book cater to diverse stakeholders in the healthcare AI ecosystem. Healthcare professionals will gain confidence in integrating AI tools, while technical teams will receive implementation guidelines. This book is essential for anyone seeking to responsibly and effectively navigate the complexities of AI in healthcare.Brief description:
Arvind Panwar is a researcher and academic in the field of Computer Science and Engineering whose interests include blockchain technology, information security, cybersecurity, data analytics, and emerging digital technologies. His research focuses on the development of secure and scalable computing frameworks, including applications of blockchain in healthcare and data management. Dr. Panwar has contributed to scholarly research through journal articles, conference papers, book chapters, patents, and edited volumes. He is actively engaged in research, innovation, and academic collaboration, with work spanning blockchain, artificial intelligence, the Internet of Things, and cybersecurity. His activities include mentoring students, supporting interdisciplinary research initiatives, and participating in international academic collaborations. Through his research and educational contributions, he promotes the translation of advanced computing technologies into practical solutions for industry and society.