Artificial Intelligence and Machine Learning in Neurology, 2 Volume Set

As neurology grapples with some of the most challenging and pervasive health issues of our time, such as Alzheimer's, Parkinson's, and stroke, AI offers the potential to transcend traditional barriers in treatment and management. Technologies such as machine learning models, neural networks, and cognitive computing are used to better understand and simulate brain functions, offering insights that are impossible for traditional analytical methods. Artificial Intelligence and Machine Learning in Neurology explores the pioneering intersection of neuroscience and artificial intelligence, offering a comprehensive examination of how machine learning and AI technologies are revolutionizing the fields of neurology and mental health. This book delves into cutting-edge research and practical applications of AI in diagnosing, treating, and managing neurological disorders. It discusses the development of intelligent diagnostic systems, personalized medicine approaches, and the potential of AI to analyze vast amounts of neurological data for insights. Additionally, the book addresses ethical considerations, challenges, and future prospects in the integration of AI into neurohealth sciences, making it an indispensable guide to this emerging technology. Unlock the future of brain health with this indispensable guide, which offers a comprehensive exploration of how artificial intelligence and machine learning are revolutionizing the diagnosis, treatment, and management of complex neurological disorders. As neurology grapples with some of the most challenging and pervasive health issues of our time, such as Alzheimers, Parkinsons, and stroke, AI offers the potential to transcend traditional barriers in treatment and management. Technologies such as machine learning models, neural networks, and cognitive computing are used to better understand and simulate brain functions, offering insights that are impossible for traditional analytical methods. Artificial Intelligence and Machine Learning in Neurology explores the pioneering intersection of neuroscience and artificial intelligence, offering a comprehensive examination of how machine learning and AI technologies are revolutionizing the fields of neurology and mental health. This book delves into cutting-edge research and practical applications of AI in diagnosing, treating, and managing neurological disorders. It discusses the development of intelligent diagnostic systems, personalized medicine approaches, and the potential of AI to analyze vast amounts of neurological data for insights. Additionally, the book addresses ethical considerations, challenges, and future prospects in the integration of AI into neurohealth sciences, making it an indispensable guide to this emerging technology. Abhishek Kumar, PhD is an Assistant Professor and the Associate Director of the Computer Science and Engineering Department at Chandigarh University with more than 13 years of experience. He has authored seven books, edited more than 50 books, and published more than 170 publications in reputed national and international journals, books, and conferences. His areas of interest include artificial intelligence, renewable energy image processing, computer vision, data mining, and machine learning. Pramod Singh Rathore, PhD is an Assistant Professor in the Department of Computer and Communication Engineering at Manipal University with over 12 years of academic experience. He has published more than 85 papers in peer-reviewed national and international journals, books, and conferences, as well as numerous books. His research interests include computer networks, mining, and database management systems. Sachin Ahuja, PhD is a Professor and Executive Director in the Department of Computer Science and Engineering at Chandigarh University. He has successfully led several funded projects in advanced areas like artificial intelligence, machine learning, and data mining, driving innovation and practical solutions. He has contributed to numerous high-quality academic books and served as a guest editor for special issues in reputed international journals. Manoj Manuja, PhD is the Founder and CEO of Mystik Minds, a company dedicated to providing no-code AI education to students across diverse domains. Under his leadership, Mystik Minds has become a catalyst for empowering students from various backgrounds with essential AI skills, fostering inclusivity in technology education. He has hands-on expertise navigating the dynamic landscape of AI education, creating innovative and accessible learning pathways that resonate with learners from diverse fields.