Smart Imaging: AI Solutions for Early Disease Detection

edited by Shubham Mahajan
Forthcoming
Language: English | Imprint: NIPA

Hardback

ISBN: 9789372198287
Pages: 268 | Length: 152 mm | Breadth: 18.3 mm | Height: 229 mm | Weight: 500 GSM
Print Book Price: 120.00 USD (Get 10% OFF)
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This book will be available from 31-Dec-2026

EBook

EISBN: 9789372198294
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This book will be available from 31-Dec-2026

eChapter

eChapter details: Available in the Content section below.

Smart Imaging: AI Solutions for Early Disease Detection presents a comprehensive exploration of how Artificial Intelligence, Machine Learning, Deep Learning, Big Data, Internet of Things, Edge AI and Cloud Computing are transforming medical imaging and healthcare. The book examines the transition from conventional, largely manual diagnostic approaches toward intelligent systems capable of supporting earlier, faster and more data-driven disease detection.Beginning with the evolution of smart imaging and deep learning architectures, the book discusses AI-driven radiological imaging and its applications in the detection of cancer, neurological abnormalities, cardiovascular diseases and respiratory disorders. It further explores predictive health analytics, real-time diagnostics using portable devices, big data in medical imaging and AI-enabled clinical decision support. The later chapters address energy-efficient Edge AI, cloud-based smart healthcare, regulatory frameworks, next-generation imaging technologies and practical approaches for developing AI solutions.

Chapter 1. Evolution of Smart Imaging in Healthcare

Chapter 2. Deep Learning Architectures for Medical Image Analysis

Chapter 3. AI Driven Insights in Radiological Imaging

Chapter 4. Cancer Detection: The Role of AI in Early Diagnosis

Chapter 5. Neurological Disorder and Smart Imaging Solutions

Chapter 6. Cardiovascular Imaging: Leveraging AI for Early Warnings

Chapter 7. AI Powered Detection of Respiratory Diseases

Chapter 8. Predictive Health Analytics: Early Disease Detection and Risk Assessment

Chapter 9. Real Time Diagnostics with AI in Portable Devices

Chapter 10. Big Data in Medical Imaging: Opportunities and Challenges

Chapter 11. Integrating AI with Clinical Decision Support System

Chapter 12. Performance Optimization of Edge AI Algorithms for Energy-Efficient IoT Health Monitoring Devices

Chapter 13. The Cloud Computing and AI Convergence in Smart Healthcare: Innovations and Challenges

Chapter 14. Regulatory Frameworks for AI in Medical Imaging

Chapter 15. Next-Generation Healthcare: A New Era of Smart Imaging and Advanced Technologies

Chapter 16. Building AI Solutions for Imaging: A Practical Guide

Chapter 17. The Promise of AI in Transforming Healthcare

Keywords

Artificial Intelligence in Healthcare, AI in Medical Imaging, Smart Imaging, Early Disease Detection, Medical Image Analysis, Deep Learning in Healthcare, Machine Learning in Medicine, AI Disease Diagnosis, Cancer Detection Using AI, Brain Tumor Detection, Cardiovascular Imaging, Respiratory Disease Detection, Predictive Health Analytics, AI Clinical Decision Support, Big Data in Medical Imaging, Edge AI Healthcare, IoT Health Monitoring, Cloud Computing in Healthcare, AI Radiology, Future of Smart Healthcare