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      1. Medicin
      2. Omvårdnad och medicinska stödfunktioner
      3. Biomedicinsk teknik

      Artificial Intelligence in Brain Disorders

      Innovations in Diagnosis and Treatment

      AvPranav Kumar Prabhakar,Arun Kumar Singh

      Häftad, Engelska, 2026

      1 824 kr

      Kommande

      Beskrivning

      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. It 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.

      As such, this book offers a detailed overview of AI and machine learning techniques relevant to neurological research.

      • 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
      • Showcases techniques in diagnosing 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

      Produktinformation

      • Utgivningsdatum:2026-10-01
      • Mått:191 x 235 x undefined mm
      • Vikt:450 g
      • Format:Häftad
      • Språk:Engelska
      • Antal sidor:400
      • Förlag:Elsevier Science
      • ISBN:9780443277221

      Utforska kategorier

      • Biomedicinsk teknik inom Medicin
      • Biokemisk teknik inom Naturvetenskap och teknik
      • Artificiell intelligens inom Data och IT

      Mer om författaren

      Dr. Pranav Kumar Prabhakar is Professor and Head of the Department of Biotechnology, School of Engineering and Technology, Nagaland University, Meriema, Kohima, Nagaland, India. His research focuses on elucidating molecular mechanisms involved in metabolic disorders, particularly diabetes, including strategies for oral insulin delivery and the use of natural products to mimic signaling pathways. He is a member of the Royal Society of Chemistry and the Asia-Pacific Chemical, Biological & Environmental Engineering Society. Dr. Prabhakar serves on the editorial boards of, and acts as a reviewer for, several national and international scientific journals. He has published extensively in his field and has contributed to numerous books and book chapters. He has also presented his research at scientific meetings and conferences. Arun Kumar Singh is an Assistant Professor in the Department of Pharmacy at University School of Pharmaceutical Sciences, Rayat Bahra University V.P.O. Sahauran, India. He completed his M.Pharm in Pharmaceutics from Galgotias University, Greater Noida. His research interests include nano-formulation, blockchain, IoT, machine learning, artificial intelligence, big data analytics, cancer biology, and neuroscience. He has contributed to academic books and book chapters and has published review articles in the areas of pharmaceutical sciences and healthcare technology. His work focuses on interdisciplinary approaches integrating pharmaceutical research with emerging digital and computational technologies. 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.

      Innehållsförteckning

      • 1. An Overview of Artificial Intelligence-Based Imaging Techniques2. Identification and evaluation of low-grade gliomas in the brain using machine learning3. Cognitive therapy for brain diseases using deep learning models4. Machine Intelligence in Clinical Neuroscience5. Brain Informatics, by NL Swathy, Department Of Pharmacy Practice6. Alzheimer's Disease Diagnosis using Artificial Intelligence7. AI-enabled assistance support to Alzheimer Patients8. Adolescents with serious depressive disorder: AI for detecting mental disorders9. Modelling cognitive impairment in Parkinson s patients using deep learning10. Parkinson’s disease diagnosis using AI11. Artificial Intelligence shaping the future of neurology practice12. Convergence of Artificial Intelligence and Neuroscience for Neurological Disorder Diagnosis13. Early detection and prediction of brain tumurs in human patients using deep learning14. Using deep learning to identify Brain tumors15. Combining artificial intelligence and neuroscience to diagnose and predict neurological diseases16. The role of AI in neuroethics and patients’ privacy
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