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

Introduction

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.

Audience:

Readers in medicine, biomedical engineering, and computer science.

Contributors

Editor(s):
Mariya Ouaissa


Mariyam Ouaissa


Zakaria Boulouad


Inam Ullah Khan


Sailesh Iyer




Contributor(s):
Adnan Hussain
Islamia College University Peshawar, Peshawar
Pakistan


Anjali Sharma
Pharmacovigilance Expert
Uttar Pradesh
India


Ashok Bhansali
Department of Computer Science Engineering
O. P. Jindal University
India


Ashwani Sharma
School of Pharmaceutical Sciences
MVN University, Palwal
Haryana
India


B. Uma Maheswari
Department of Computer Science and Engineering, Amrita School of Engineering
Bengaluru, Amrita Vishwa Vidyapeetham
KA
India


Bilal Ahmad
Islamia College University Peshawar, Peshawar
Pakistan


Briska Jifrina Premnath
Department of Biochemistry and Biotechnology, Faculty of Science
Annamalai University
Tamilnadu
India


Dattaprasad Torse
Department of Computer Science and Engineering
KLE Dr. M.S. Sheshgiri College of Engineering and Technology
Udyambag, Belagavi
KA, India


Farhatullah
School of Automation, China University of Geosciences
Wuhan
China


Farman Ali Khan
COMSATS University Islamabad
Attock Campus
Pakistan


G. Sumathi
Department of IT, Kalasalingam Institute of Technology Krishnankoil
Tamilnadu
India


Girirajasekhar Dornadula
Department of Pharmacy Practice
Annamacharya College of Pharmacy
Rajampeta
India


Girish Kumar
School of Pharmaceutical Sciences
MVN University
Palwal, Haryana
India


Hoshang Kolivand
Faculty of Engineering and Technology
Liverpool John Moores University, Liverpool
England


Ibtissam Elhassani
Artificial Intelligence for Engineering Sciences Team (IASI), Laboratory of Mathematical Modeling
Simulation and Smart Systems (L2M3S), ENSAM, Moulay Ismail University
Meknes
Morocco


Imane Tailouloute
Artificial Intelligence for Engineering Sciences Team (IASI), Laboratory of Mathematical Modeling
Simulation and Smart Systems (L2M3S), ENSAM, Moulay Ismail University
Meknes
Morocco


Inam Ullah Khan
Kings College London
London, United Kingdom


Izaz Ahmad
Department Computing and Technology, Abasyn University
Peshawar
Pakistan


K. Kartheeban
Department of CSE, Kalasalingam Academy of Research and Education
Krishnankoil
Tamilnadu
India


Kamal Kant Hiran
Faculty of IT and Design
Aalborg University
Copenhagen
Denmark


Krishna Pai
Department of Electronics and Communication Engineering
KLE Dr. M.S. Sheshgiri College of Engineering and Technology
Udyambag, Belagavi, KA
India


Lakshmi Narasimha Gunturu
Scientimed Solutions Private Limited, Mumbai
Maharashtra
India


Dourhmi Mouad
Artificial Intelligence for Engineering Sciences Team (IASI)
Laboratory of Mathematical Modeling, Simulation and Smart Systems (L2M3S), ENSAM
Moulay Ismail University, Meknes
Morocco


Mahendra Kumar Shrivas
Department of Computer Science Engineering, O. P. Jindal University, Raigarh
India


Maria Nawaz Chohan
National Defence University
Islamabad
Pakistan


Mariya Ouaissa
Moulay Ismail University, Meknes
Morocco


Meenu Bhati
School of Pharmaceutical Sciences, MVN University
Palwal
Haryana
India


Muhammad Abul Hassan
Abasyn University Peshawar, Peshawar
Pakistan


Muhammad Hamza Akhlaq
Allama Iqbal Open University
Islamabad
Pakistan


Muhammad Imad
Abasyn University, Peshawar
Pakistan


Muhammad Yaseen Ayub
COMSATS University Islamabad
Attock Campus
Pakistan


Naimullah
Abasyn University
Peshawar
Pakistan


Namasivayam Nalini
Department of Biochemistry and Biotechnology
Faculty of Science
Annamalai University, Tamilnadu
India


P. Senthamizh Pavai
Faculty of Education, Dr. M.G.R. Educational and Research Institute
Chennai
India


R. Ananthakumar
Department of CSE
Kalasalingam Institute of Technology, Krishnankoil
Tamilnadu
India


Raghavendra Naveen Nimbagal
Department of Pharmaceutics
Sri Adichunchanagiri College of Pharmacy, Adichunchanagiri University
Karnataka 571418
India


Rajashri Khanai
Department of Electronics and Communication Engineering
KLE Dr. M.S. Sheshgiri College of Engineering and Technology
Udyambag, Belagavi, KA
India


Rakhee Kallimani
Department of Electrical and Electronics Engineering
KLE Dr. M.S. Sheshgiri College of Engineering and Technology
Udyambag, Belagavi, KA
India


S. Rajesh
Department of CSE, Mepco Schlenk Engineering College
Sivakasi
Tamil Nadu
India


Sajid Ahthasham
Department of Computer Science, Faculty of ICT
BUITEMS
Quetta
Baluchistan, Pakistan


Sana Nawaz Chohan
Foundation University Institute of Rehabilitation Sciences
Islamabad
Pakistan


Sarah El Himer
Sidi Mohammed Ben Abdellah University, Fez
Morocco


Shah Hussain Bangash
Abasyn University
Peshawar
Pakistan


Sridhar Iyer
Department of Electronics and Communication Engineering
KLE Dr. M.S. Sheshgiri College of Engineering and Technology
Udyambag, Belagavi, KA
India


Syeda Zillay Nain Zukhraf
KIOS Research and Innovation Center of Excellence
Department of Electrical and Computer Engineering, University of Cyprus
Nicosia
Cyprus


Tarik Hajji
Artificial Intelligence for Engineering Sciences Team (IASI), Laboratory of Mathematical Modeling
Simulation and Smart Systems (L2M3S), ENSAM
Moulay Ismail University, Meknes
Morocco


Tawfik Masrour
Artificial Intelligence for Engineering Sciences Team (IASI), Laboratory of Mathematical Modeling
Simulation and Smart Systems (L2M3S), ENSAM
Moulay Ismail University, Meknes
Morocco


Tarun Virmani
School of Pharmaceutical Sciences
MVN University, Palwal
Haryana
India


Tayyab Rehman
Faculty of Computing, SZABIST, Islamabad, Pakistan



Usha Nandhini Rajendran
Faculty of Education, Dr. M.G.R. Educational and Research Institute
Chennai
India