1st Edition
Computer Vision and AI-Integrated IoT Technologies in the Medical Ecosystem
This book examines computer vision and IoT-integrated technologies used by medical professionals in decision-making, for sustainable development in a healthcare ecosystem, and to better serve patients and stakeholders. It looks at the methodologies, technologies, models, frameworks, and practices necessary to resolve the challenging issues associated with leveraging the emerging technologies driving the medical field.
The chapters discuss machine vision, AI-driven computer vision, machine learning, deep learning, AI-integrated IoT technology, data science, blockchain, AR/VR technology, cloud data, and cybersecurity techniques in designing and implementing a smart healthcare infrastructure in the era of the Industrial Revolution 4.0. Techniques are applied to the detection, diagnosis, and monitoring of a wide range of health issues.
Computer Vision and AI-Integrated IoT Technologies in the Medical Ecosystem targets a mixed audience of students, engineers, researchers, academics, and professionals who are researching and working in the field of medical and healthcare industries from different environments and countries.
Chapter 1 Application of Computer Vision (CV) in the Healthcare Ecosystem
Alex Khang, Vugar Abdullayev, Eugenia Litvinova, Svetlana Chumachenko, Abuzarova Vusala Alyar, and P. T. N. Anh
Chapter 2 Artificial Intelligence (AI)-Assisted Computer Vision (CV) in Healthcare Systems
Wasswa Shafik, Ahmad Fathan Hidayatullah, Kassim Kalinaki, and Muhammad Muzamil Aslam
Chapter 3 Computer Vision (CV)-based Machine Learning (ML) Models for the Healthcare System
Preeti Mehta, Mahesh K. Singh, and Nitin Singh Singha
Chapter 4 Computer Vision (CV) Aided Medical Diagnosis for Cardiovascular Disease Detection
Neha Shrotriya and Parthivi Thakore
Chapter 5 Artificial Intelligence (AI)-Aided Diagnosis System to Objectively Measure Chronic Pain
Machupalli Sree Pragna, Girija Jagannath J.,and Alex Khang
Chapter 6 Artificial Intelligence (AI)-Enabled Technology in Medicine-Advancing Holistic Healthcare Monitoring and Control Systems
Kali Charan Rath, Alex Khang, Sunil Kumar Rath, Nibedita Satapathy, Suresh Kumar Satapathy, and Sitanshu Kar
Chapter 7 Medical and Biomedical Signal Processing and Prediction Using the EEG Machine and Electroencephalography
Alex Khang, Vladimir Hahanov, Eugenia Litvinova, Svetlana Chumachenko, Zoran Avromovic, Rashad İsmibeyli, Ragimova Nazila Ali, Vugar Abdullayev, Abuzarova Vusala Alyar, and P. T. N. Anh
Chapter 8 Artificial Intelligence (AI)-Aided Computer Vision (CV) in Healthcare System
Ushaa Eswaran and Alex Khang
Chapter 9 Artificial Intelligence (AI) Models for Disease Diagnosis and Prediction of Heart Disease with Artificial Neural Networks (ANN)
P. T. N. Anh, Vladimir Hahanov, Triwiyanto, Ragimova Nazila Ali, Rashad İsmibeyli, Vugar Abdullayev, Abuzarova Vusala Alyar, and Ana Kadarningsih
Chapter 10 Harnessing Deep Learning (DL) for Image Inpainting in Healthcare System-Methods and Challenges
Sumathi G. and Uma Devi M.
Chapter 11 Skin Cancer Classification Using ConvNeXtLarge Architecture
Prithwish Raymahapatra, Avijit Kumar Chaudhuri, and Sulekha Das
Chapter 12 Brain Tumor Detection Using TensorFlow Framework
Tanniru Venkata Kailash, Anuradha Misra, and Praveen Kumar Misra
Chapter 13 Early Prediction of Sepsis with the Predictive Analysis Model Using 1.5 Million Records
Rupinderjit Kaur, Durgalakshmi Penugonda, and Supratim Dasgupta
Chapter 14 An Efficient FPGA Implementation of Approximate Multiply Accumulate Unit for Image and Video Processing Applications in Healthcare Sector
P. L. Lahari, Rahul Gowtham Poola, and Siva Sankar Yellampalli
Chapter 15 Lung Cancer Prediction Using Convolutional Neural Network (CNN) with VGG16 Model
Prithwish Raymahapatra, Avijit Kumar Chaudhuri, Sulekha Das, and Alex Khang
Chapter 16 Identifying Error and Bias in Chest Radiographic Images for COVID Detection Using Deep Learning Algorithms
Suganya D. and Kalpana R.
Chapter 17 Forecast of Health Risk for Chronic Kidney Disease: A Comparison between Naïve Bayes (NB) and Support Vector Machine (SVM) Models
Suman Halder, Sree Kumar, Debi Prassana Acharjya, and Sambhu Dutta
Chapter 18 The Performance of Feature Selection Approaches on Boosted Random Forest Algorithms for Predicting Cardiovascular Disease
Avijit Kumar Chaudhuri and Sulekha Das
Chapter 19 Application of Artificial Intelligence (AI) Technologies in Employing Chatbots to Access Mental Health
Anshika Jain, Garima Srivastava, Shikha Singh, and Vandana Dubey
Chapter 20 Clinical Decision Support Systems in Smart Medical Ecosystem
Vugar Abdullayev, Alex Khang, Rashad İsmibayli, Abuzarova Vusala Alyar, Triwiyanto, and P. T. N. Anh
Chapter 21 The Future of Edge Computing for Healthcare Ecosystem
Venkatesh Upadrista, Sajid Nazir, and Huaglory Tianfield
Chapter 22 Privacy-Aware IoT-Based Multi-Disease Diagnosis Model for Healthcare System
Divya N. J., Kanniga Devi R., and Muthukannan M.
Chapter 23 Using Big Data to Solve Problems in the Field of Medicine
Alex Khang, Triwiyanto, Vugar Abdullayev, Ragimova Nazila Ali, Sardarov Yaqub Bali, Taleh Asgarov, Mammadov Kanan Hafiz, and Ana Kadarningsih
Chapter 24 Automations and Robotics Improves Quality Healthcare in the Era of Digital Medical Laboratory
Nkereuwem Sunday Etukudoh, Njar Valerie Esame, Uchejeso Mark Obeta, Obiora Reginald Ejinaka, and Alex Khang
Biography
Alex Khang is a professor of Information Technology, AI and data scientist, software industry expert, and the Chief of Technology Officer (AI and Data Science Research Center) at the Global Research Institute of Technology and Engineering, North Carolina, United States.
Vugar Abdullayev, Doctor of Technical Sciences, is an associate professor in the Computer Engineering Department at the Azerbaijan State Oil and Industry University, Baku, Azerbaijan.
Olena Hrybiuk, Doctor of Pedagogical Sciences, is an associate professor and researcher at the Faculty of Engineering, International Science and Technology University, National Academy of Sciences, Ukraine.
Arvind K. Shukla is a professor and head of department at the Department of Computer Applications, IFTM University, Moradabad, India.
