This book comprehensively explores the intersection between AI and neurology, focusing on the application of generative models in diagnosing, treating, and managing neurodegenerative diseases. It includes principles of generative AI, its function in neuroimaging, biomarker identification, medication development, and tailored treatment options. It examines how these advanced AI approaches are leveraged to increase the detection and treatment of neurodegenerative illnesses. The concepts are supported by case studies and examples.

Features:

• Focusses on the emerging field of generative models in neurology.
• Presents interdisciplinary approach bridging AI and medical applications.
• Examines the ability of neural diffusion models to generate genuine data to enhance healthcare AI.
• Discusses tools for the adaptation and augmentation of medical images and healthcare data domains.
• Includes case studies and practical impacts.

This book is aimed at graduate students and researchers in biomedical and computer engineering, artificial intelligence, and health informatics.