Call for Chapters: Future Innovations in the Convergence of AI and Internet of Things in Medicine

Editors

Velliangiri Sarveshwaran, National Chung Cheng University, India
Karthikeyan Periyaswami, National Chung Cheng University, India
Keping Yu, University of Hosei, Japan

Call for Chapters

Proposals Submission Deadline: July 21, 2024
Full Chapters Due: October 13, 2024
Submission Date: October 13, 2024

Introduction

The integration of Artificial Intelligence (AI) and the Internet of Things (IoT) has ushered in a new era of innovation, particularly within the field of medicine. This convergence, often referred to as the AIoT in healthcare, promises to revolutionize patient care, diagnostics, and treatment by enabling smarter, more efficient, and personalized medical solutions. The fusion of AI's cognitive capabilities with IoT's connectivity and real-time data exchange creates an ecosystem where medical devices can learn, adapt, and respond with unprecedented accuracy and speed. This book, "Future Innovations in the Convergence of AI and Internet of Things in Medicine," explores the cutting-edge advancements and future potential of AIoT in transforming the medical landscape.

Objective

The primary objective of this book is to provide a comprehensive overview of the current state and future directions of AI and IoT convergence in medicine. It aims to: Present the latest research and innovations in AIoT applications within healthcare. Discuss the challenges and opportunities associated with integrating AI and IoT technologies in medical settings. Highlight successful case studies and practical implementations of AIoT in improving patient outcomes. Explore the ethical, regulatory, and security considerations in the deployment of AIoT systems in healthcare. Provide insights into the future trends and developments that will shape the next generation of AIoT-enabled medical technologies.

Target Audience

Researchers and Academics: Scholars interested in the latest advancements and future trends in AI and IoT applications in medicine. Healthcare Professionals: Doctors, nurses, and other healthcare providers seeking to understand how AIoT can enhance patient care and operational efficiency. Students: Graduate and postgraduate students in the fields of computer science, biomedical engineering, and healthcare management who are exploring the intersection of AI, IoT, and medicine.

Recommended Topics

1. AIoT in Medical Diagnostics
2. Remote Patient Monitoring: Revolutionizing Healthcare Delivery through Continuous Remote Care
3. Development and Implementation of AI-powered IoT Devices for Enhanced Patient Care
4. AI and IoT Data for Predictive Modelling and Preventive Healthcare
5. AIoT in Emergency Medicine: Improving Emergency Response and Care through Integration
6. Robotics and AIoT in Surgery: Advancements in Robotic-assisted Surgeries
7. Generative AI for Personalized Healthcare: Applications and Implications
8. Federated Learning in Healthcare: Collaborative Model Training with Privacy Preservation
9. Explainable AI in Medicine: Interpretable Models for Transparent Decision Making
10. Computer Vision with IoT in Healthcare: Applications and Advancements
11. Healthcare Data Management: Efficient Handling of Large Volumes of Data from AIoT Devices
12. Cybersecurity and Privacy: Ensuring Security and Patient Data Privacy in AIoT Systems
13. Ethical and Regulatory Challenges in the Deployment of AIoT in Healthcare
14. Case Studies of AIoT in Medicine: Real-world Examples and Success Stories
15. Future Trends and Innovations: Exploring Emerging Technologies in AIoT for Medicine


Submission Procedure

Researchers and practitioners are invited to submit on or before July 21, 2024, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by August 4, 2024 about the status of their proposals and sent chapter guidelines.Full chapters are expected to be submitted by October 13, 2024, and all interested authors must consult the guidelines for manuscript submissions at https://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-anonymized review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Future Innovations in the Convergence of AI and Internet of Things in Medicine. All manuscripts are accepted based on a double-anonymized peer review editorial process.

All proposals should be submitted through the eEditorial Discovery® online submission manager.



Publisher

This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), an international academic publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. IGI Global specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit https://www.igi-global.com. This publication is anticipated to be released in 2025.



Important Dates

July 21, 2024: Proposal Submission Deadline
August 4, 2024: Notification of Acceptance
October 13, 2024: Full Chapter Submission
November 24, 2024: Review Results Returned
December 22, 2024: Final Acceptance Notification
December 29, 2024: Final Chapter Submission



Inquiries

Velliangiri Sarveshwaran
National Chung Cheng University
velliangiris@gmail.com

Karthikeyan Periyaswami
RV University, Bengaluru, India
nrmkarthi@gmail.com

Keping Yu
University of Hosei
keping.yu.47@hosei.ac.jp



Classifications


Life Sciences; Medicine and Healthcare; Security and Forensics
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