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Ai-Driven Healthcare Innovations: Applications in Neurology and Medicine (Hardcover) (ISBN-13: 9781836690962)
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Abhishek Kumar
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Books
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Description
xAI-driven Healthcare Innovations presents a timely and authoritative exploration of how artificial intelligence (AI) is transforming modern clinical practices and medical research. Positioned at the intersection of healthcare, data science and computational intelligence, this book provides a comprehensive context for understanding the growing role of AI in diagnosis, treatment and decision-making within neurology and broader medical domains.
The book systematically examines core AI techniques, including machine learning (ML), deep learning (DL) and intelligent optimization, and demonstrates their practical deployment across neurological disorders, medical imaging, predictive analytics and personalized care. Emphasis is placed on real-world clinical workflows, data acquisition and preprocessing, model interpretability and performance evaluation. In addition, we also address ethical considerations, regulatory challenges and data security issues critical to healthcare adoption. By combining theoretical foundations with applied case studies and future research directions, this book serves as a valuable resource for researchers, clinicians, graduate students and industry professionals seeking to leverage AI-driven innovations to improve patient outcomes and advance next-generation healthcare systems.
Author: Abhishek Kumar
ISBN-10: 1836690967
ISBN-13: 9781836690962
Publisher: Wiley-Iste
Language: English
Published: 05/11/2026
Pages: 400
Format: Hardcover
Weight: 1.62lbs
Size: 9.21h x 6.14w x 0.88d
The book systematically examines core AI techniques, including machine learning (ML), deep learning (DL) and intelligent optimization, and demonstrates their practical deployment across neurological disorders, medical imaging, predictive analytics and personalized care. Emphasis is placed on real-world clinical workflows, data acquisition and preprocessing, model interpretability and performance evaluation. In addition, we also address ethical considerations, regulatory challenges and data security issues critical to healthcare adoption. By combining theoretical foundations with applied case studies and future research directions, this book serves as a valuable resource for researchers, clinicians, graduate students and industry professionals seeking to leverage AI-driven innovations to improve patient outcomes and advance next-generation healthcare systems.
Author: Abhishek Kumar
ISBN-10: 1836690967
ISBN-13: 9781836690962
Publisher: Wiley-Iste
Language: English
Published: 05/11/2026
Pages: 400
Format: Hardcover
Weight: 1.62lbs
Size: 9.21h x 6.14w x 0.88d
By Abhishek Kumar
xAbhishek Kumar, Senior IEEE Member and Professor at Chandigarh University, India, is a prolific researcher with 170+ publications and has international postdoctoral experience. His expertise spans AI, renewable energy and image processing.
Priya Batta is Associate Professor at Amity School of Engineering and Technology, Amity University Punjab, Mohali, India. She has over 12 years of academic experience and has edited several books. She actively contributes her research to reputed journals and conferences. Her expertise includes AI, blockchain and IoT.
J.P. Ananth is Professor of CSE and Director of IQAC at Dayananda Sagar University, Bengaluru, India. With 23 years of experience, he is also a senior IEEE member and a key contributor to academic quality assurance and examination systems.
Priya Batta is Associate Professor at Amity School of Engineering and Technology, Amity University Punjab, Mohali, India. She has over 12 years of academic experience and has edited several books. She actively contributes her research to reputed journals and conferences. Her expertise includes AI, blockchain and IoT.
J.P. Ananth is Professor of CSE and Director of IQAC at Dayananda Sagar University, Bengaluru, India. With 23 years of experience, he is also a senior IEEE member and a key contributor to academic quality assurance and examination systems.
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