Artificial Intelligence for Neural Health

Diagnosis and Treatment
1. Auflage 2025
ISBN: 978-981-5129-81-6
Verlag: Jenny Stanford Publishing

Buch, Englisch, 382 Seiten, Format (B × H): 152 mm x 229 mm

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.

Zielgruppe

Academic and Postgraduate

Autoren/Hrsg.

Malviya, Rishabha

Rajput, Shivam

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizinische Fachgebiete Psychiatrie, Sozialpsychiatrie, Suchttherapie
• Interdisziplinäres Wissenschaften Wissenschaften Interdisziplinär Neurowissenschaften, Kognitionswissenschaft
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

1. Utilisation of Artificial Intelligence in the Field of Neurological Disorders: Existing Technology and Advancements 2. Utilising Artificial Intelligence in the Diagnosis and Treatment of Alzheimer's Disease 3. Applications of Artificial Intelligence in the Field of Epilepsy Diagnosis and Treatment 4. Implementations of Artificial Intelligence for Psychiatric Disorders 5. Incorporating Artificial Intelligence in Stroke Imaging and Treatment 6. Applying Artificial Intelligence for the Prevention and Treatment of Dementia 7. Application of Artificial Intelligence for the Identification and Surgical Management of Brain Cancer 8. Implementation of Artificial Intelligence Methods for Parkinson's Disease Diagnosis and Treatment 9. Application of AI-driven Robotic Systems for the Treatment of Neurological Diseases

Über Autor(innen)

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.