Hello All, I humbly call all the researchers out there for the chapters of Book. 

Advanced Healthcare Technologies: Integrating IoMT, AI, Blockchain, and Federated Learning

I attached the outline below and approximate page count. I am working with book proposal with Wiley-IEEE and I have authored couple books that are published in amazon. 

The Nexus of Minds: Unveiling the Significance of AI in Mental Health and Viable Remedies: Chavali, Durga Prasanna, Chavali, Durga Prasanna, Dhiman, Vinod Kumar: 9798871649367: Amazon.com: Books

Book Title (proposed): Advanced Healthcare Technologies: Integrating IoMT, AI, Blockchain, and Federated Learning

There will be through review of the manuscripts and acceptance is based on the quality. 

Please connect with me at durga.chavali@ieee.org, Here is the book outline, I will be happy to share the abstract for interested authors/researchers.

I. Introduction (Approx. 5,000 words and Approx. 18 pages)

A. Technical overview of IoMT and AI

B. Interconnection and interoperability challenges

C. Importance of integrated healthcare solutions

II. IoMT Technical Details (Approx. 15,000 words and Approx. 55 pages)

A. Architectural components of IoMT

B. Protocols and standards in IoMT communication

C. Sensor technologies and data acquisition in healthcare

D. Intrusion detection systems in IoMT security

III. AI in Healthcare Technologies (Approx. 20,000 words and Approx. 73 pages)

A. Deep dive into AI algorithms used in medical applications

B. Machine learning models for diagnosis and treatment

C. Natural language processing for healthcare data analysis

D. Introduction to Federated Learning in healthcare AI

IV. Integration Challenges and Solutions (Approx. 30,000 words and Approx. 110 pages)

A. Data interoperability standards (HL7, FHIR, etc.)

B. Security protocols for protecting sensitive healthcare data

C. Compliance with healthcare regulations (HIPAA, GDPR, etc.)

D. Technical challenges in integrating diverse IoMT devices

E. Intrusion detection systems for cybersecurity

F. Implantable medical devices and their integration

G. Internet wearable devices and their role in IoMT

H. Blockchain technology in securing healthcare data

I. Federated Learning for decentralized AI training

J. Strategies to overcome resistance to technological changes

V. Advancements in IoMT and AI Integration (Approx. 20,000 words and Approx. 73 pages)

A. Advanced interoperability frameworks

B. Cybersecurity advancements in healthcare systems

C. Regulatory compliance tools and solutions

D. Breakthroughs in AI algorithms for medical data processing

E. Case studies illustrating successful integration strategies

VI. Future Trends in Healthcare Technology (Approx. 10,000 words and Approx. 37 pages)

A. Exploration of emerging technologies (Edge Computing, etc.)

B. Potential impact on healthcare delivery and patient outcomes

C. Ethical considerations in the development and deployment of advanced technologies

VII. Case Studies and Technical Implementations (Approx. 10,000 words and Approx. 37 pages)

A. In-depth analysis of real-world technical implementations

B. Technical details of lessons learned and best practices

VIII. Technical Conclusion (Approx. 5,000 words and Approx. 18 pages)

A. Technical recap of key challenges and advancements

B. Implications for future technical research and development

IX. Technical Appendices (Approx. 2,000 words and Approx. 7 pages)

A. Glossary of technical terms

B. Detailed technical references and resources

C. Technical index of terms and concepts