Artificial Intelligence in Brain Disorders: Innovations in Diagnosis and Treatment

· · ·
· Academic Press
Ebook
400
Pages
Eligible
This book will become available on April 1, 2026. You will not be charged until it is released.

About this ebook

"Artificial Intelligence in Brain Disorders: Innovations in Diagnosis and Treatment" focuses on the utilization of AI and machine learning to enhance current practices in the diagnosis and treatment of neurological disorders. Each chapter provides in-depth exploration of specific areas where AI can improve existing methodologies, offering practical guidance, case studies, and research findings that can be directly applied in the field. This book offers a detailed overview of AI and machine learning techniques relevant to neurological research. The book explains the application of AI in diagnosing and treating major neurological illnesses, and showcases the potential of AI in predicting diseases such as epilepsy and neurodegenerative disorders.• Offers a comprehensive exploration of cutting-edge AI, big data analytics, and machine learning methodologies specifically applied in the field of neurology• Presents various machine learning techniques such as image segmentation, classification, neural networks, and image processing, showcasing their relevance in early neurological disease identification and deep learning applications using advanced brain imaging technologies like EEG, MEG, fMRI, fNIRS, and PET• Provides practical insights and case studies

About the author

Dr. Pranav Kumar Prabhakar is currently working as a Professor and Deputy Director at Parul University, Gujarat, India. He is one of the World’s Top 2% Scientists (list published by Stanford University, USA, 2021, 2022, 2023, and 2024). He has completed his PhD in Biotechnology from IIT Madras. His main area of research interest focuses on elucidating molecular Mechanisms and Strategies for Oral Insulin Delivery, Mimicking the signaling pathways in Metabolic Disorders (diabetes) with Natural Products. He is a member of the Royal Society of Chemistry, and the Asia-Pacific Chemical, Biological& Environmental Engineering Society. He is also serving as an editorial board member and reviewer for many reputed national and International Journals. Dr. Pranav received honors including the recipient of a travel grant towards attending ATTD 2009 in Greece from the Indian Institute of Technology Madras & Council for Scientific and Industrial Research (CSIR) and approved by the Department of Science and Technology (DST). He has published 100+ research articles in journals, authored 8 books, and 25 book chapters. He also delivered 9 oral and poster presentations in scientific meetings.

Arun Kumar Singh, M. Pharm (Pharmaceutics) from Galgotias University, India, is an Assistant Professor at Amity Institute of Pharmacy, Amity University, India. His research interests include biopolymers, nanoformulation, and the application of nanotechnology in cancer treatment. He has authored multiple book chapters and articles within the field of cancer therapy and related biomaterials.

Prateek Agrawal is professor and deputy dean at the School of Computer Science & Engineering, Lovely Professional University, Phagwara, Punjab, India. His research areas include natural language processing, computer vision, video processing, expert systems, deep learning applications, and other related topics. He is a senior member of IEEE and core member of IEEE India Council for Sustainable Development Activity, and is also a member of different reputed organizations like IET, MIR lab, and IAENG among others. Dr. Agarwal has published over 70 research papers in Scopus/SCIE indexed journals and conferences, 60 national patents, five edited books, and 10 book chapters. He is book series editor of the IOP series on next generation computing, and is a reviewer for many SCIE journals like Multimedia tools and Applications, Plos One, PeerJ, Oxford computer science, IEEE Access, and Ambient Intelligent & Humanized Computing.

Radu Prodan is professor of distributed systems at the Institute of Information Technology (ITEC), University of Klagenfurt, Austria. He was an associate professor at the University of Innsbruck until 2018. His research interests include performance, optimization, and resource management tools for parallel and distributed systems, as well as middleware system tools for cloud, fog, and edge computing. He has participated in numerous projects, including coordinating the Horizon 2020 project ARTICONF. He has coauthored over 200 publications and received three IEEE best paper awards. He is a member of ACM.

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