S. M. Riazul Islam, PhD, FHEA, SMIEEE
Associate Professor (SL) of Computing Science
School of Natural and Computing Sciences
Senior Lecturer in Computer Science, University of Huddersfield, UK
Assistant Professor in Computer Science and Engineering, Sejong University, South Korea
Postdoctoral Fellow, Dept. of Information and Communication Engineering, Inha University
Chief Engineer, Solution Lab for Advanced Research, Samsung R&D Institute
Assistant Professor, Dept. of Electrical and Electronic Engineering, University of Dhaka
Applied AI, Digital Health, 5G/6G, Machine Learning, Data Science, and IoT & Security.
Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL);
Data Analytics, Probability & Statistics, Random Process, Image Processing;
Digital Communications, IoT Protocols, and Computer Programming.
AI has already entered our everyday life. Combined with other digital technologies, we are now knowingly or unknowingly using different AI software and systems. Whereas some of them are simple to comprehend, others are more complex depending upon the area of applications. As a consumer, every one of us should have a basic understanding of the landscape of those AI tools and applications from their utilization perspectives.
This book categorically provides a comprehensive list of AI-driven products that we are using in our day-to-day life. Furthermore, it explains the application context of many useful AI apps, tools, software, devices, and gadgets in simple terms, suitable for experts and non-experts.
Artificial Intelligence (AI) in general and machine learning (ML) and deep learning (DL) in particular and related digital technologies are a couple of fledging paradigms that the next generation healthcare services are sprouting towards. These digital technologies can transform various aspects of healthcare, leveraging advances in computing and communication power. With a new spectrum of business opportunities, AI-powered healthcare services would improve the lives of patients, their families, and societies. However, the application of AI in the healthcare field requires special attention given the direct implication with human life and wellbeing. Rapid progress in AI leads to the possibility of exploiting healthcare data for designing practical tools for automated diagnosis of chronic diseases such as dementia and diabetes. This book highlights the current research trends in applying AI models in various disease diagnoses and prognoses to provide enhanced healthcare solutions. The primary audience of the book will be postgraduate students and researchers in the broad domain of healthcare technologies.