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AI Enabled Internet of Medical Things in Smart Healthcare

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AI Models for Blockchain-Based Intelligent Networks in IoT Systems

Part of the book series: Engineering Cyber-Physical Systems and Critical Infrastructures ((ECPSCI,volume 6))

Abstract

In recent years, Artificial intelligence (AI) has been burgeoning hastily in various research areas such as healthcare, living assistance, biomedicine, and disease diagnosis. The inception of AI provides enormous amenities to enrich patient monitoring, Clinical outcomes, and limits costs. The Internet of Medical Things (IOMT) is one of the tremendous developments in healthcare. Hence, the integration of AI with IOMT yields machine to machine, human to machine, and human to human communication perhaps completely updated with e-healthcare for the improvement of society. The AI-based IOMT entrust the clinically associated devices and their incorporation enhances the e-healthcare. The application of AI yields abundant growth in e-healthcare from diagnosis to treatment. The utilization of IOMT sensors assists in real-time disease prediction which significantly reduces the mortality rate. Therefore, this chapter discusses the roles of sensors in e-healthcare, smart monitoring, ambient assisted living, smart treatment reminders, security challenges, and opportunities. In addition, the major key issues and challenges concerned with the use of AI in e-healthcare and also delineate the avenues for future research.

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Author information

Authors and Affiliations

  1. Department of Electronics and Communication Engineering, PSNA College of Engineering and Technology, Dindigul, Tamil Nadu, India

    S. Jayachitra

  2. Department of Electronics and Communication Engineering, Sri Venkateswara College of Engineering, Sriperumbudur, Tamil Nadu, India

    A. Prasanth

  3. Department of Electronics and Communication Engineering, Saranathan College of Engineering, Panjappur, India

    S. Hariprasath

  4. Department of Electronics and Communication Engineering, Rajalakshmi Engineering College, Thandalam, Tamil Nadu, India

    R. Benazir Begam

  5. School of Computer Science Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India

    M. Madiajagan

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  1. S. Jayachitra
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  2. A. Prasanth
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  3. S. Hariprasath
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  4. R. Benazir Begam
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  5. M. Madiajagan
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Corresponding author

Correspondence to S. Jayachitra .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, School of Engineering and Technology, Sharda University, Greater Noida, India

    Bharat Bhushan

  2. School of Computing Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India

    Arun Kumar Sangaiah

  3. Intelligent Systems Laboratory (ISL), Department of Computer Science, Kennesaw State University, Marietta, GA, USA

    Tu N. Nguyen

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Jayachitra, S., Prasanth, A., Hariprasath, S., Benazir Begam, R., Madiajagan, M. (2023). AI Enabled Internet of Medical Things in Smart Healthcare. In: Bhushan, B., Sangaiah, A.K., Nguyen, T.N. (eds) AI Models for Blockchain-Based Intelligent Networks in IoT Systems. Engineering Cyber-Physical Systems and Critical Infrastructures, vol 6. Springer, Cham. https://doi.org/10.1007/978-3-031-31952-5_7

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