AI in MRI-based Brain Disease Prediction presents a comprehensive exploration of artificial intelligence technologies in the analysis of magnetic resonance imaging (MRI) for brain disease prediction. Bridging medical imaging, neuroscience, and AI, this volume covers core methodologies-such as deep learning, multimodal fusion, and fast MRI processing-and applies them to neurological disorders including Alzheimer's, Parkinson's, stroke, glioma, and autism. Featuring theoretical foundations, real-world case studies, and cutting-edge applications, the book serves as a valuable resource for researchers, clinicians, and students. It aims to foster interdisciplinary innovation and support the advancement of precision medicine in brain healthcare.

AI in MRI-based Brain Disease Prediction presents a comprehensive exploration of artificial intelligence technologies in the analysis of magnetic resonance imaging (MRI) for brain disease prediction. Bridging medical imaging, neuroscience, and AI, this volume covers core methodologies-such as deep learning, multimodal fusion, and fast MRI processing-and applies them to neurological disorders including Alzheimer's, Parkinson's, stroke, glioma, and autism. Featuring theoretical foundations, real-world case studies, and cutting-edge applications, the book serves as a valuable resource for researchers, clinicians, and students. It aims to foster interdisciplinary innovation and support the advancement of precision medicine in brain healthcare.

AI in MRI-based Brain Disease Prediction presents a comprehensive exploration of artificial intelligence technologies in the analysis of magnetic resonance imaging (MRI) for brain disease prediction. Bridging medical imaging, neuroscience, and AI, this volume covers core methodologies-such as deep learning, multimodal fusion, and fast MRI processing-and applies them to neurological disorders including Alzheimer's, Parkinson's, stroke, glioma, and autism. Featuring theoretical foundations, real-world case studies, and cutting-edge applications, the book serves as a valuable resource for researchers, clinicians, and students. It aims to foster interdisciplinary innovation and support the advancement of precision medicine in brain healthcare.