Editors: Mariya Ouaissa, Mariyam Ouaissa, Zakaria Boulouad, Inam Ullah Khan, Sailesh Iyer

Series Title: Computational Intelligence for Data Analysis

Machine Intelligence for Internet of Medical Things: Applications and Future Trends

Volume 2

eBook: US $79 Special Offer (PDF + Printed Copy): US $126
Printed Copy: US $87
Library License: US $316
ISSN: 2810-9457 (Print)
ISSN: 2810-9465 (Online)
ISBN: 978-981-5080-45-2 (Print)
ISBN: 978-981-5080-44-5 (Online)
Year of Publication: 2023
DOI: 10.2174/97898150804451230201


This book presents use-cases of IoT, AI and Machine Learning (ML) for healthcare delivery and medical devices. It compiles 15 topics that discuss the applications, opportunities, and future trends of machine intelligence in the medical domain. The objective of the book is to demonstrate how these technologies can be used to keep patients safe and healthy and, at the same time, to empower physicians to deliver superior care.

Readers will be familiarized with core principles, algorithms, protocols, emerging trends, security problems, and the latest concepts in e-healthcare services. It also includes a quick overview of deep feed forward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, practical methodology, and how they can be used to provide better solutions to healthcare related issues. The book is a timely update for basic and advanced readers in medicine, biomedical engineering, and computer science.

Key topics covered in the book:

- An introduction to the concept of the Internet of Medical Things (IoMT).

- Cloud-edge based IoMT architecture and performance optimization in the context of Medical Big Data.

- A comprehensive survey on different IoMT interference mitigation techniques for Wireless Body Area Networks (WBANs).

- Artificial Intelligence and the Internet of Medical Things.

- A review of new machine learning and AI solutions in different medical areas.

- A Deep Learning based solution to optimize obstacle recognition for visually impaired patients.

- Deep Learning for brain tumor detection.

- Blockchain and patient data management.


Readers in medicine, biomedical engineering, and computer science.


The COVID-19 pandemic has shed light on the importance of having a more efficient healthcare system. In the era of Industry 4.0, Artificial Intelligence and the Internet of Things have introduced themselves today as must-have technologies in almost every sector, including healthcare.

This book introduces an emerging yet interesting concept, the Internet of Medical Things (IoMT). It refers to an infrastructure of highly connected healthcare devices that can communicate and share data to optimize different medical actions and interventions. The book goes further into suggesting solutions that can provide better performance and security for the Internet of Medical Things.

Moreover, this book presents different successful case studies of combinations of IoMT with Artificial Intelligence and their application in different medical use cases, such as preventing future pandemics, optimizing brain tumor detection, obstacle detection for visually impaired patients, etc.

In its last chapter, this book offers an opening to further development in the IoMT area by exploring the possibilities offered by Blockchain technology in securing medical data.

This book aspires to provide a relevant reference for students, researchers, engineers, and professionals working in the IoMT area, particularly those interested in grasping its diverse facets and exploring the latest advances in IoMT.

Yassine Maleh
Sultan Moulay Slimane University
Beni Mellal