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Artificial Intelligence for Neural Health

Diagnosis and Treatment

Rishabha Malviya Shivam Rajput

$423.95   $339.32

Hardback

Forthcoming
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English
Jenny Stanford Publishing
07 October 2025
This book explores the transformative role of artificial intelligence (AI) in diagnosing and treating neurological disorders. It offers a comprehensive overview of how AI can enhance diagnostic accuracy, improve treatment plans, and ultimately lead to better patient outcomes in the realm of neural health. It covers a wide range of topics, including fundamental AI technologies and their relevance in neural health, detailed case studies demonstrating the application of AI in diagnosing and treating neurological conditions, and the ethical, legal, and social implications of using AI in healthcare. It also delves into future trends and innovations in AI-driven neural health solutions. The book is essential for healthcare professionals, AI researchers, and neuroscientists as it bridges the gap between cutting-edge AI technologies and practical medical applications.
By:   ,
Imprint:   Jenny Stanford Publishing
Country of Publication:   Singapore
Dimensions:   Height: 229mm,  Width: 152mm, 
ISBN:   9789815129816
ISBN 10:   9815129813
Pages:   366
Publication Date:  
Audience:   College/higher education ,  Professional and scholarly ,  Primary ,  Undergraduate
Format:   Hardback
Publisher's Status:   Forthcoming

Rishabha Malviya is an associate professor in the Department of Pharmacy, School of Medical and Allied Sciences, Galgotias University, Uttar Pradesh, India, with 13 years of research experience. He completed his B. Pharm. from Uttar Pradesh Technical University and M. Pharm. (pharmaceutics) from Gautam Buddha Technical University, Uttar Pradesh, India. His Ph.D. work focused on novel formulation development techniques. His research interests include formulation optimization, nanoformulation, targeted drug delivery, and the characterization of natural polymers as pharmaceutical excipients. He has authored over 150 research papers, holds 51 patents, and has edited 70 books. Recognized as one of the world’s top 2% scientists by Elsevier BV and Stanford University for 2020, 2021, and 2022, he has received numerous accolades, including an Outstanding Reviewer award from Elsevier. Shivam Rajput is a distinguished researcher who completed his B. Pharm. from Pt. B. D. Sharma University of Health Sciences and M. Pharm. from Galgotias University. He has authored 2 books and over 10 book chapters. His research contributions include several papers indexed in Scopus, published by reputed publishers. He has also presented his work at more than 10 international conferences, establishing himself as a significant contributor to the field.

Reviews for Artificial Intelligence for Neural Health: Diagnosis and Treatment

“This book offers a comprehensive and insightful exploration into how artificial intelligence is reshaping diagnostics and treatment in neurology. It strikes a balance between technical depth and clinical relevance, making it an excellent resource for both researchers and healthcare practitioners. A much-needed contribution to the field.” Dr Ameeduzzafar Zafar; Jouf University, Saudi Arabia “This book is an impressive synthesis of AI applications in the context of neurological disorders. It explains complex models like deep learning and neural networks in an accessible manner, while grounding them in real-world neurological case studies. A must-read for those at the intersection of AI and medicine.” Dr Mukesh Roy; Baptist Health South Florida, USA “A well-structured and forward-thinking book that illustrates the potential of AI in early diagnosis and personalised care for neurological diseases. I appreciate the emphasis on both innovation and patient-centric approaches.” Dr Sathvik Belagodu Sridhar; RAK Medical & Health Sciences University, United Arab Emirates “The authors provide a clear, concise, and scientifically grounded narrative on how AI can transform neurological care. With practical examples and up-to-date research, this book bridges the gap between AI theory and clinical practice. It’s highly recommended for neurologists exploring digital innovation.” Dr Kamla Pathak; Uttar Pradesh University of Medical Sciences, India


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