Healthcare 5. 2023 : Digital Transformation in Healthcare 5.0: IoT, AI and Digital Twin

Dear Sir/Madam,
Greetings of the day…!
We are calling for a collection of scholarly or scientific edited chapters contributed by authors from different researching fields with the different topics and interests to compose a book, which will be edited and harmonized by its Editor who can be an experienced and highly-esteemed expert in the field of the proposed book.

Publisher: DE GRUYTER

Fee: Zero Publication or processing fee at any stage.

Concept of the Book
As new digital technologies develop, healthcare systems around the world are presented with never-before-seen opportunity to enhance the delivery of healthcare services. These days, healthcare is at the dawn of a paradigm change to reach the new era - Healthcare 5.0 with the help of new technologies.The healthcare industry's 5.0 revolution is eventually digitally reshaping society by easing the burden on emergency and acute care services and enabling faster response times for communities to improve their resilience and health. In this book, new technologies such as augmented reality, 5G, digital twins, blockchain, robotics, big data, tricorder, the internet of things, AI, and cloud computing are discussed in terms of their roles and capabilities.

Table of Content: The topics are related to but not limited to the following:
1. Introduction to industry fourth revolution and its impact on healthcare
2. AI-enabled IoMT for smart healthcare
3. Integration of cognitive computing and AI for smart healthcare systems
4. Nanorobots in smart healthcare
5. Data-driven AI for Information Retrieval of biomedical Images
6. IoT based Computer-aided diagnosis and detection for biomedical health informatics
7. Advancements of IoT integrated e-health services
8. Patient follow-up and treatment delivery using big deep analysis
9. Blockchain-empowered metaverse healthcare systems and applications
10. Secured health care methods for MCPS(Medical cyber-physical systems)
11. AI-enabled remote Patient Monitoring using Big Data
12. Big data analytics & Bioinformatics in healthcare: eliminating bias in data
13. Machine learning models for cost-effective healthcare delivery systems
14. Virtual Reality: Making Healthcare More Accessible
15. IoMT-enabled mass surveillance in smart health to preclude pandemic spread
16. Machine Learning for twinning the human body
17. Tricorder: Healthcare in the Palm of Your Hands
18. Cognitive computing for analyzing nonlinear dynamics for smart healthcare systems

Editors
1. Dr. Rishabha Malviya,
Associate Professor,
School of Medical and Allied Sciences
Galgotias University, India. (E-mail: [email protected])

2. Prof. Sonali Sundram
Assistant Professor
School of Medical and Allied Sciences
Galgotias University, Greater Noida, India.

3. Dr. Rajesh Kumar Dhanaraj,
Professor,
Symbiosis Institute of Computer Studies and Research,
Symbiosis International (Deemed University), Maharashtra, India


4. Dr. Seifedine Kadry,
Professor,
Department of Applied Data Science,
Noroff University College, Norway



Important Dates
Abstract Submission {Approx. 500 Words}:20th June 2023
Abstract Acceptance Notification: 25th June 2023
Full Chapter Submission: 30th August 2023
Review Notification of Chapter: 10th August 2023
Revised Chapter Submission: 30th August 2023


For further questions please contact to Dr. Rishabha Malviya at “[email protected]”. (WhatsApp: +91-9450352185)

Regards,

Editors
“Digital Transformation in Healthcare 5.0: IoT, AI and Digital Twin,
DE GRUYTER”.