دانلود کتاب هوش مصنوعی در پیش‌بینی بیماری‌های مغزی مبتنی بر MRI

The rapid evolution of artificial intelligence (AI) has profoundly transformed the landscape of medical imaging, offering unprecedented advancements in precision, automation, and predictive analytics. Among the various domains of medical imaging, magnetic resonance imaging (MRI)- based brain disease prediction has emerged as a pivotal field, leveraging cutting-edge AI techniques to enhance early diagnosis, treatment planning, and disease progression monitoring. This book, AI in MRI-based Brain Disease Prediction, comprehensively explores AI-driven methodologies in neuroimaging, bridging the gap between computer science, medical imaging, and neuroscience. It serves as a guiding resource for researchers, clinicians, and students interested in the application of AI to neurological disorders such as Alzheimer’s disease, Parkinson’s disease, stroke, glioma, and other brain conditions. The book is structured into multiple sections and begins with an introduction to the fundamental principles of brain anatomy, MRI techniques, and the computational foundations of AI. It then delves into advanced AI methodologies, including deep learning, machine learning, and multimodal data fusion, offering insights into their applications in brain disease prediction. A dedicated section explores the role of AI in fast MRI acquisition and processing, highlighting techniques that optimize scan times while preserving diagnostic accuracy. The book also addresses the challenges and emerging trends in AIpowered brain disease prediction, such as explainability, model generalization, and clinical integration. With a balanced focus on theoretical foundations and practical applications, we provide real-world case studies and experimental results to illustrate the impact of AI in clinical decision making and research advancements. Our objective is to inspire innovation, foster collaboration across disciplines, and contribute to the ongoing efforts to enhance neurological diagnostics and patient care. As AI continues to evolve, we envision a future where AI-empowered MRI analysis plays a central role in early disease detection, personalized treatment strategies, and precision medicine. We hope this book is a valuable resource, encouraging further exploration and development in this promising field.