Synopsis
This book introduces a groundbreaking AI-driven framework for rapid brain imaging assessment in acute neurological conditions such as stroke, traumatic injury, and hemorrhage. Combining deep learning, edge computing, and multimodal data fusion, ARIA-NET enables real-time decision support for emergency physicians and neurologists. The book explores the system's adaptive architecture, real-time optimization, and clinical workflow integration, offering both theoretical foundations and practical implementation strategies. Through case studies and algorithmic analysis, it highlights how intelligent imaging analytics can reduce diagnostic delay, enhance treatment precision, and ultimately improve patient survival rates. Designed for biomedical engineers, computer scientists, and clinicians, this volume bridges the gap between computational neuroscience and emergency medicine.
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ARIA-NET Adaptive Real-Time Imaging Analytics
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Paperback. Condition: new. Paperback. This book introduces a groundbreaking AI-driven framework for rapid brain imaging assessment in acute neurological conditions such as stroke, traumatic injury, and hemorrhage. Combining deep learning, edge computing, and multimodal data fusion, ARIA-NET enables real-time decision support for emergency physicians and neurologists. The book explores the system's adaptive architecture, real-time optimization, and clinical workflow integration, offering both theoretical foundations and practical implementation strategies. Through case studies and algorithmic analysis, it highlights how intelligent imaging analytics can reduce diagnostic delay, enhance treatment precision, and ultimately improve patient survival rates. Designed for biomedical engineers, computer scientists, and clinicians, this volume bridges the gap between computational neuroscience and emergency medicine. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9786209133985
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ARIA-NET Adaptive Real-Time Imaging Analytics
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Scholars' Press Okt 2025, 2025
ISBN 10: 6209133983
ISBN 13: 9786209133985
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ARIA-NET Adaptive Real-Time Imaging Analytics (Paperback)
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Paperback. Condition: new. Paperback. This book introduces a groundbreaking AI-driven framework for rapid brain imaging assessment in acute neurological conditions such as stroke, traumatic injury, and hemorrhage. Combining deep learning, edge computing, and multimodal data fusion, ARIA-NET enables real-time decision support for emergency physicians and neurologists. The book explores the system's adaptive architecture, real-time optimization, and clinical workflow integration, offering both theoretical foundations and practical implementation strategies. Through case studies and algorithmic analysis, it highlights how intelligent imaging analytics can reduce diagnostic delay, enhance treatment precision, and ultimately improve patient survival rates. Designed for biomedical engineers, computer scientists, and clinicians, this volume bridges the gap between computational neuroscience and emergency medicine. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9786209133985
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ARIA-NET Adaptive Real-Time Imaging Analytics
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ISBN 10: 6209133983
ISBN 13: 9786209133985
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ARIA-NET Adaptive Real-Time Imaging Analytics : for Neurological Emergency Triage
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book introduces a groundbreaking AI-driven framework for rapid brain imaging assessment in acute neurological conditions such as stroke, traumatic injury, and hemorrhage. Combining deep learning, edge computing, and multimodal data fusion, ARIA-NET enables real-time decision support for emergency physicians and neurologists. The book explores the system's adaptive architecture, real-time optimization, and clinical workflow integration, offering both theoretical foundations and practical implementation strategies. Through case studies and algorithmic analysis, it highlights how intelligent imaging analytics can reduce diagnostic delay, enhance treatment precision, and ultimately improve patient survival rates. Designed for biomedical engineers, computer scientists, and clinicians, this volume bridges the gap between computational neuroscience and emergency medicine. Seller Inventory # 9786209133985
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