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ARIA-NET Adaptive Real-Time Imaging Analytics

By Hamed Aghazadeh

ARIA-NET Adaptive Real-Time Imaging Analytics

By Hamed Aghazadeh

0 - Default Title
Description
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.
Product details
Binding:
Paperback
Number of Pages:
152
Release Date:
2025-10-15
Publication Date:
2025-10-15
Publisher:
Scholars' Press
Languages:
Original: English
ISBN10:
6209133983
ISBN13:
9786209133985
GPSR Manufacturer Reference:
[email protected]
Weight:
244 g
Height:
150 cm
Width:
220 cm
Thickness:
10 cm
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