BOOK-CHAPTER

Artificial Intelligence-Enabled IOMT for Medical Application

Abstract

The present pandemic has put the whole of humanity under threat of getting infected by a deadly coronavirus. Remote health monitoring systems can help such patients to get advice related to the required treatment from doctors at remote locations. The first part of the module gives a brief idea about a simple system that will sense using medical sensors and send information to the cloud using the internet and provide assistance to the patients after processing the data collected on the cloud as per the levels of the critical parameters under consideration. Internet of medical things (IoMT) is the name given to this system. The illustration for the same is done for demonstration with the help of an experimental setup using LabVIEW. The later part of the module covers IoMT using AI which allows the doctors to prescribe medicines in accordance with the patient's critical parameters analysis. A comparative study of a simple IoMT with AI-enabled IoMT (AIoMT) for medical application will be provided for enhancing the understanding of the impact and application of IoMT and AIoMT. From a healthcare perspective, this module assesses numerous IoT security and privacy characteristics, as well as various cyber threat models and attack classification.

Keywords:
Computer science Multimedia World Wide Web

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2
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2.46
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0.86
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Citation History

Topics

Brain Tumor Detection and Classification
Life Sciences →  Neuroscience →  Neurology
IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications
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