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