Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
ARIA-NET Adaptive Real-Time Imaging Analytics

ARIA-NET Adaptive Real-Time Imaging Analytics

Aghazadeh, Hamed
Mosaddeghi Heris, Reza
Taheri, Niloofar

Paperback

Medical Reference

ISBN10: 6209133983
ISBN13: 9786209133985
Publisher: Scholars' Press
Published: Oct 15 2025
Pages: 152
Weight: 0.47
Height: 0.35 Width: 6.00 Depth: 9.00
Language: English
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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