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Intelligent Biomedical Technologies and Applications for Healthcare 5.0
- 1st Edition, Volume 16 - November 1, 2024
- Editors: Lalit Garg, Gayatri Mirajkar, Sanjay Misra, Vijay Kumar Chattu
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 2 2 0 3 8 - 8
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 2 2 0 3 9 - 5
Intelligent Biomedical Technologies and Applications for Healthcare 5.0, Volume Sixteen covers artificial health intelligence, biomedical image analysis, 5G, the Internet of Medica… Read more
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Request a sales quoteIntelligent Biomedical Technologies and Applications for Healthcare 5.0, Volume Sixteen covers artificial health intelligence, biomedical image analysis, 5G, the Internet of Medical Things, intelligent healthcare systems, and extended health intelligence (EHI). This volume contains four sections. The focus of the first section is health data analytics and applications. The second section covers research on information exchange and knowledge sharing. The third section is on the Internet of Things (IoT) and the Internet of Everything (IoE)-based solutions. The final section focuses on the implementation, assessment, adoption, and management of healthcare informatics solutions.
This new volume in the Advances in Ubiquitous Sensing Applications for Healthcare series focuses on innovative methods in the healthcare industry and will be useful for biomedical engineers, researchers, and students working in interdisciplinary fields of research. This volume bridges these newly developing technologies and the medical community in the rapidly developing healthcare world, introducing them to modern healthcare advances such as EHI and Smart Healthcare Systems.
- Provides a comprehensive technological review of cutting-edge information in the wide domain of Healthcare 5.0
- Introduces concepts that combine computational methods, network standards, and healthcare systems to provide a much improved, more affordable experience delivered by healthcare services to its customers
- Presents innovative solutions utilizing informatics to deal with various healthcare technology issues
1. Blockchain Technology for Efficient (Patient) Data Management in Healthcare: A Review of Recent Techniques
2. BlockMom: Maternal and child health data co-custodianship in health 2.0
Part II: IoT in Healthcare
3. Secure Trusted Intelligent Things: Practical design considerations
4. IoT as a piggy-back technology for transporting healthcare from health centres to the home
5. Intelligent Healthcare: Technologies Towards 5G Network for Intelligent Health-Care Using IoT notification with Machine Learning Programming
6. Satellite Imaging Applications in Healthcare: A literature review
Part III: AI/ML-Based Techniques in Healthcare
7. An introductory review chapter on the applications of AI-based techniques in the analysis of MRI, CT, or PET scans can also include the fusion of MRI data with other modalities and their analysis to obtain a conclusion regarding the detection and classification of abnormalities (malignant/non-malignant).
8. Hepatic cancerous detection using a cutting-edge deep learning technique
9. A cost-effective way of implementing Big data in Health Research in developing countries – case of Malawi
10. An intelligent system to solve the problem of ever-increasing public hospital waiting lists
11. Hybrid Fuzzy-Based Improved Particle Swarm Optimization Technique for Cancer Cell Detection
12. Review paper on Performance Evaluation of automated techniques for detecting and diagnosing tumours/lesions in CT, MRI, or PET images.
13. Dual Customized U-Net Based Automated Diagnosis of Glaucoma
14. Diagnosis of Skin Cancer Using Artificial Intelligence Techniques: An Overview
15. Machine Learning Approach for Early Detection of Diabetes Using social media
16. AI bises, adversarial attacks and explainable AI in Healthcare
17. AI-applications in patient diagnosis: state of the art
18. The use of Big data in the healthcare industry during the covid-19 pandemic
Part IV: M-Health Systems
19. A review chapter on mobile applications for healthcare management
20. A review chapter on mobile applications for detecting and measuring health conditions (data analytics approach).
21. Assessing the Validity, Reliability and Usability of a Newly Developed Smartphone-based Health 5.0 Application for Measuring Chronic Low Back Pain
22. Impact of 5G on Health 5.0 and its subsequent advantages and disadvantages
23. Impact of Industry 4.0 on Health 5.0 and beyond.
Part V: Health 5.0 Opportunities and challenges
24. Learn from every patient - The Medical Translational Research model for Health 5.0
25. Digital Twin Frameworks in HealthCare: A Systematic Review
26. Security, privacy, and ethics issues in Health 5.0
27. Investigating the effect of a custom-developed Soft Ergonomics application on ergonomic compliance during computer usage to enhance or improve the health and wellbeing of its users
28. The influence of IoT on health organization’s behaviour and the associated risks and benefits
29. The Covid-19 outbreak impact on patient data collection, security, patient privacy, and Information exchange
30. Smart home applications in healthcare applications
31. Improving interoperability between Health Information Technology (HIT) systems in Mental Health and Acute Hospitals
- No. of pages: 350
- Language: English
- Edition: 1
- Volume: 16
- Published: November 1, 2024
- Imprint: Academic Press
- Paperback ISBN: 9780443220388
- eBook ISBN: 9780443220395
LG
Lalit Garg
GM
Gayatri Mirajkar
SM
Sanjay Misra
VC
Vijay Kumar Chattu
Dr Vijay Kumar Chattu is a Global Health Specialist at the University of Toronto and an Adjunct Professor at the School of Computer Science Engineering (SCOPE), Vellore Institute of Technology. Besides, he is an Adjunct Professor at the University of Alberta, a Senior Fellow at the WHO CC for KT and HTA in Health Equity at Ottawa and a Visiting Research Fellow at United Nations University-CRIS, Belgium. His interdisciplinary research intersects Medicine, Health Sciences, Health Technology, Health Policy and International Relations. During his academic career, Dr Chattu studied at various universities in 5 continents and travelled to over 45 countries. He did his MBBS and MD from India, MPH from Belgium, MPhil from South Africa, Fellowship in Digital Health/Occupational Medicine from Canada and PhD from Trinidad and Tobago. Besides, he also holds a Post Master’s Certificate in Mental Health from Harvard University and a Graduate Certificate in Global Health Diplomacy from Graduate Institute Geneva. He is a recipient of the NIH-Fogarty AITRP Grant at UCLA, the Fogarty MHIRT Grant at the U of Michigan and numerous prestigious awards from DGDC Belgium, Salzburg Global Seminar Austria and WHO-IARC France, to name a few. He published over 400 articles and has consistently ranked among the World’s Top 2% Scientists in Public Health by the Stanford University & Elsevier Rankings since 2021. Dr Chattu serves as an Associate Editor for BMJ Global Health and other prestigious journals. As a Global Health Policy advisor, he regularly contributes to the T20 Policy briefs for G20 Summits and G7 Forums. He has a long track record of consulting for multilateral organizations such as UNAIDS-TSF, WHO and the World Bank. Some of his co-authored works include applications of Blockchain technology, Artificial Intelligence, Machine Learning, and Deep Learning in health domains such as Disease Surveillance, Maternal and Child Health, Health Equity, Sleep Medicine etc. His current research interests include AI-driven diagnostics, Telemedicine, Remote patient consultations in the Metaverse, and Virtual Reality applications in medical education and training. Dr Chattu is also the Founder and CEO of Global Health Research and Innovations Canada Inc. (GHRIC) based in Toronto.