Call for Chapters: Convergence of Internet of Medical Things (IoMT) and Generative AI

Editors

Vinoth Kumar Venkatesan, Jain University, India
Polinpapilinho Katina, University of South Carolina Upstate, United States
Jingyuan Zhao, University of Toronto, Canada

Call for Chapters

Proposals Submission Deadline: May 12, 2024
Full Chapters Due: August 25, 2024
Submission Date: August 25, 2024

Introduction

In recent years, the convergence of the Internet of Medical Things (IoMT) and Generative Artificial Intelligence (AI) has revolutionized healthcare delivery, offering unprecedented opportunities to enhance patient care, improve clinical outcomes, and optimize healthcare systems globally. IoMT based smart healthcare system is a collection of several smart medical equipment including wearable devices and apps connected within the network to provide health information. IoMT refers to interconnected medical devices, wearables, sensors, and healthcare systems that collect, transmit, and analyze health data, while Generative AI encompasses advanced computational techniques capable of generating novel insights, predictions, and solutions. The AI-driven IoMT healthcare system is a combination of IoT (used for periodic control) and AI (used for data analysis).

Objective

Generative AI has the potential to revolutionize global health across multiple areas, such as medical data synthesis, image enhancement, disease prediction and diagnosis, drug discovery, medical documentation, and personalized healthcare. It offers opportunities to overcome data scarcity and privacy concerns through synthetic data generation and supports accurate disease interpretation and diagnosis through image quality enhancement. Generative AI models also enable disease likelihood prediction, early condition detection, precise diagnoses, and personalized treatment plans for improved patient care. However, as IoMT and Generative AI continue to proliferate across healthcare ecosystems, it is imperative to critically examine their impact on global health, considering diverse socio-economic contexts, cultural sensitivities, and ethical implications. This book seeks to explore the multifaceted dimensions of IoMT and Generative AI in the context of global health, and introduce emerging applications, integration challenges, regulatory considerations, and future directions for innovation and collaboration.

Target Audience

The primary target audience for this book includes university students, trainers, lecturers, researchers, educators, academic developers, policymakers, research institutions, and institutional leaders across the world.

Recommended Topics

The many academic areas covered in this publication include, but are not limited to: Emerging Applications of IoMT in Global Health Energy-efficient IoMT Architecture for Smart Healthcare Generative AI for medical image analysis Privacy and security issues in IoMT. Clinical data collection, integration, and analysis in IoMT Generative AI for personalized medicine and drug discovery Opportunities and barriers for scaling IoMT and Generative AI solutions globally Decision-making systems for IoMT applied to medical sensors Wearable IoMT for smart healthcare Data Analytics in Generative AI-IoMT Socio-economic challenges of smart health using Generative AI Ethical implications of AI-driven healthcare decision-making IoMT-enabled healthcare infrastructure in resource-constrained settings

Submission Procedure

Researchers and practitioners are invited to submit on or before May 12, 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 May 26, 2024 about the status of their proposals and sent chapter guidelines.Full chapters are expected to be submitted by August 25, 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-blind 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, Convergence of Internet of Medical Things (IoMT) and Generative AI. All manuscripts are accepted based on a double-blind 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

May 12, 2024: Proposal Submission Deadline
May 26, 2024: Notification of Acceptance
August 25, 2024: Full Chapter Submission
October 27, 2024: Review Results Returned
December 8, 2024: Final Acceptance Notification
December 22, 2024: Final Chapter Submission



Inquiries

Vinoth Kumar Venkatesan Vellore Institute of Technology vinothkumar.v@vit.ac.in Jingyuan Zhao University of Toronto jingyuan.zhao@utoronto.ca

Classifications


Computer Science and Information Technology; Medical, Healthcare, and Life Sciences; Science and Engineering
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