Convergence of Internet of Medical Things (IoMT) and Generative AI
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. Generative AI revolutionizes global health in areas like 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. However, as IoMT and Generative AI continue to be used across healthcare systems, it is critical to examine their impact on global health, considering diverse socio-economic contexts, cultural sensitivities, and ethical implications. Convergence of Internet of Medical Things (IoMT) and Generative AI explores recent advancements in IoMT and generative AI, with a focus on state-of-the-art approaches, methodologies, and systems for the design, development, deployment, and innovative use of those technologies. It provides insights on how to develop IoMT and generative AI technologies to meet smart business and society development demands, especially in the healthcare field. This book covers topics such as medical technology, wearable technology, and data science, and is a useful resource for medical and healthcare professionals, scientists, engineers, academicians, and researchers.
1146979306
Convergence of Internet of Medical Things (IoMT) and Generative AI
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. Generative AI revolutionizes global health in areas like 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. However, as IoMT and Generative AI continue to be used across healthcare systems, it is critical to examine their impact on global health, considering diverse socio-economic contexts, cultural sensitivities, and ethical implications. Convergence of Internet of Medical Things (IoMT) and Generative AI explores recent advancements in IoMT and generative AI, with a focus on state-of-the-art approaches, methodologies, and systems for the design, development, deployment, and innovative use of those technologies. It provides insights on how to develop IoMT and generative AI technologies to meet smart business and society development demands, especially in the healthcare field. This book covers topics such as medical technology, wearable technology, and data science, and is a useful resource for medical and healthcare professionals, scientists, engineers, academicians, and researchers.
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Convergence of Internet of Medical Things (IoMT) and Generative AI

Convergence of Internet of Medical Things (IoMT) and Generative AI

Convergence of Internet of Medical Things (IoMT) and Generative AI

Convergence of Internet of Medical Things (IoMT) and Generative AI

Overview

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. Generative AI revolutionizes global health in areas like 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. However, as IoMT and Generative AI continue to be used across healthcare systems, it is critical to examine their impact on global health, considering diverse socio-economic contexts, cultural sensitivities, and ethical implications. Convergence of Internet of Medical Things (IoMT) and Generative AI explores recent advancements in IoMT and generative AI, with a focus on state-of-the-art approaches, methodologies, and systems for the design, development, deployment, and innovative use of those technologies. It provides insights on how to develop IoMT and generative AI technologies to meet smart business and society development demands, especially in the healthcare field. This book covers topics such as medical technology, wearable technology, and data science, and is a useful resource for medical and healthcare professionals, scientists, engineers, academicians, and researchers.

Product Details

ISBN-13: 9798369361849
Publisher: IGI Global
Publication date: 02/05/2025
Pages: 668
Product dimensions: 8.50(w) x 11.00(h) x 1.34(d)

About the Author

V. Vinoth Kumar is an Associate Professor in the Department of Computer Science and Engineering in MVJ College of Engineering, Bangalore, India. He is a highly qualified individual with around 8 years of rich expertise in teaching, entrepreneurship, and research and development with specialization in computer science engineering subjects. He has been a part of various seminars, paper presentations, research paper reviews, and conferences as a convener and a session chair, a guest editor in journals and has co-authored several books and papers in national, international journals and conferences. He is a professional society member for ISTE, IACIST and IAENG. He has published more than 15 articles in National and International journals, 10 articles in conference proceedings and one article in book chapter. He has filed Indian patent in IoT Applications. His Research interest includes Mobile Adhoc Networking and IoT.

Polinpapilinho F. Katina is a tenured Associate Professor in the Department of Informatics and Engineering Systems at the University of South Carolina Upstate (Spartanburg, South Carolina, USA). He has served in various capacities at Old Dominion University (Norfolk, Virginia, USA), The University of Alabama in Huntsville (Huntsville, Alabama, USA), and Syracuse University (Syracuse, New York, USA). Dr. Katina holds B.S. in Engineering Technology, M.Eng. in Systems Engineering, and Ph.D. in Engineering Management and Systems Engineering (Old Dominion University, Norfolk, Virginia, USA). He received additional training at the Politecnico di Milano (Milan, Italy). Teaching and research interests revolve around topics of Complex System Governance, Critical Infrastructure Systems, Decision Making and Analysis, Emerging Technologies (e.g., IoT), Energy Systems (Smart Grids), Engineering Management, Infranomics, Manufacturing Systems, System of Systems, Systems Engineering, Systems Pathology, Systems Theory, and Systems Thinking. His profile includes more than 200 peer-reviewed journal articles, conference proceedings, and book chapters. He has also co-authored eleven (11) books. He has published in over 21 peer-reviewed journals with high impact and visibility. He is a recipient of several awards, including the 2020 IAA Social Sciences Book Award (IAA: International Academy of Astronautics). He is a Senior Member of IEEE and Epsilon Mu Eta (Engineering Management Honor Society), ABET Program Evaluator, and journal editor for several journals, including Advanced Manufacturing (ELSP), Control and Engineering of Complex Systems Frontiers in Complex Systems (Frontiers Media SA), Cureus Journal of Engineering (Springer/Nature), Discrete Dynamics in Nature and Society (John Wiley), International Journal of Critical Infrastructures (Inderscience), and International Journal of System of Systems Engineering (Inderscience).

Jingyuan Zhao obtained her PhD in Management Science and Engineering from University of Science and Technology of China. She completed postdoctoral programs respectively in Technological Economics with Harbin Institute of Technology, in Management of Technology with Université du Québec à Montréal, in Innovation and Governance with University of Toronto, in Mathematical and Computational Science with University of Toronto Mississauga. Dr. Zhao's research expertise includes management of technology innovation, behavior and information technology, high-tech industries, multinational governance, and science and technology policy. Dr. Zhao also has extensive industry experience and provides consulting services to major corporations such as China Mobile. She serves as editor-in-chief of International Journal of e-Collaboration(IJeC).
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