Multimedia and Multimodal Intelligence for Secure and Sustainable Healthcare

Nyhet

Theoretical and Practical Insights

Inbunden, Engelska, 2026

AvSita Rani,Sui Yang Khoo,Ashima Kalra,Hemant Kumar Saini

2 049 kr

Kommande

This book provides a comprehensive examination of artificial intelligence techniques that integrate heterogeneous healthcare data to support intelligent, secure, and sustainable healthcare systems. It presents both theoretical foundations and practical methodologies for multimodal data fusion, representation learning, and decision-making using medical images, bio signals, electronic health records, wearable sensors, text, and multimedia data.Features:Illustrates analyzing and integrating multiple modalities of healthcare data, such as medical images, electronic health records, bio signals, and genomic data.Emphasizes the role of multimedia intelligence in healthcare by leveraging advanced artificial intelligence techniques to analyze diverse data formats, including text, images, audio, and video.Presents practical applications that ensure secure healthcare data management and sustainable solutions, focusing on improving patient care and enhancing diagnostics.Covers the different security mechanisms applied in multimodal and multimedia-based healthcare applications.Showcases the role of advanced artificial intelligence and machine learning methods, including privacy-preserving technologies, blockchain, and explainable artificial intelligence tailored for secure healthcare.The text is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer science and engineering, and biomedical engineering.

Produktinformation

Utgivningsdatum2026-09-22
Mått156 x 234 x undefined mm
FormatInbunden
SpråkEngelska
SerieMultimedia and Multimodal Intelligence
Antal sidor344
FörlagTaylor & Francis Ltd
ISBN9781041126003

Tillhör följande kategorier

Biomedicinsk teknik inom Medicin
Energiteknik inom Naturvetenskap och teknik
Elektronik och kommunikationer inom Naturvetenskap och teknik
Informationsteknik: allmänt inom Data och IT
Programvaruutveckling inom Data och IT
Artificiell intelligens inom Data och IT

Sita Rani works in the Department of Computer Science and Engineering at Guru Nanak Dev Engineering College, Ludhiana. She has more than 20 years of academic, administration, and research experience. Her research interest includes Data Science, Artificial Intelligence, Machine Learning, Blockchain Technology, Smart Healthcare, and Sustainable Development.Sui Yang Khoo is an Associate Professor in Electrical & Electronics Engineering, Deakin University, Victoria, Australia. Sui Yang's research interests include stochastic differential equations, variable structure control, co-operative control, robotics, adaptive signal processing, time-varying systems, and machine learning.Ashima Kalra is currently serving as an Associate Professor in the Department of Electronics and Communication Engineering at Chandigarh Engineering College (CGC), Landran. Her contributions have been widely recognized through multiple academic excellence awards, including the prestigious Women Leadership Award, reflecting her sustained commitment to quality education, impactful research, and leadership in engineering education.Hemant Kumar Saini works as an academic at the School of Computer Science Engineering at Bennett University (The Times Group), Greater Noida, India and Lincoln University, Malaysia. He has more than 14 years of teaching experience. His research includes digital transformation technologies such as Artificial Intelligence (AI), Quantum Computing, Internet of Things (IoT), Blockchain, Edge and Serverless computing, Cloud-native computing, and Digital Twins.

Chapter 1. Introduction to multimodal and multimedia intelligence for healthcare. Chapter 2. Technological Innovation in AI for Healthcare Applications. Chapter 3. Data Fusion Techniques for Multimodal Integration. Chapter 4. Cloud-Based Solutions for Sustainable Biomedical Data Processing and Management. Chapter 5. Integrating Framework in Mobile Cloud Computing and Multimodal Data for Pervasive Healthcare Systems. Chapter 6. A Multimodal & Multilingual approach to sentiment analysis for emotion recognition. Chapter 7. Multimodal Machine Learning Approaches for Heart Disease Detection and Control. Chapter 8. Multimodal Intelligence for Cancer Management: A New Dimension in Healthcare Applications. Chapter 9. Generative Multimodal Framework for Adaptive Therapeutic Game Content in Digital Health Applications. Chapter 10. Healthcare and Assistive Technologies: Multimodal AI for Rehabilitation, Monitoring and Patient Independence. Chapter 11. AI-Powered Smart Hospitals and Digital Twin Healthcare Systems. Chapter 12. Securing the Healthcare with Blockchain Powered Multimedia Medicare System. Chapter 13. Blockchain and AI for Sustainable Healthcare. Chapter 14. Decentralized Incentives: Tokenomics and Micropayments in Modern Healthcare. Chapter 15. Open Research Challenges and Futuristic Directions for Multimodal Healthcare Security

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