Artificial Intelligence-Based Smart Healthcare Systems: New Standards, Technologies, and Communication Systems delves into the transformative role of Artificial Intelligence (AI) in modern healthcare. The book sheds light on the integration of AI technologies into healthcare systems, significantly enhancing diagnostics, patient care, treatment, research, and administrative processes. It emphasizes AI's emergence as a crucial component of healthcare, where advanced AI-powered networks improve data communication, sensing, and monitoring capabilities, setting new standards for healthcare efficiency and accuracy.
In addition to discussing AI's applications in patient monitoring, medical image analysis, human pose estimation, speech recognition, and disease diagnosis, the book explores architectural frameworks like software-defined networks, cloud and edge-based architectures, and mobility-based systems. It stresses the need for scalable, flexible, energy-efficient, and interoperable designs to support AI integration. Furthermore, the importance of robust security, privacy standards, and policies in AI-based healthcare systems is highlighted, considering the unique challenges and requirements of this domain.
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Prof. Kashif Naseer Qureshi is an Associate Professor of Cyber Security in the Department of Electronic and Computer Engineering at the University of Limerick, Ireland. He is also actively involved in the Cyber Skills project, a HEA-HCI Pillar 3 initiative Ireland. He received a Ph.D. degree from the University of Technology Malaysia (UTM) and holds two master's degrees in Computer Science and Information Technology from reputable universities. He is the Co-Principal Investigator in Cyber Reconnaissance and Combat project funded by higher education commission. His research interests focus on the security, trust and privacy concerns for Internet of Everything (IoE), Internet of Vehicles (IoV), Electronic Vehicles (EV) charging management planning and recommendation systems, and Internet of Things (IoT) and use cases implementation in wireless and wired networks. He is active member of Lero, the Science Foundation Ireland Research Centre for Software in University of Limerick (UL). His name is included in top 2% Scientist for consecutive 3 years from Stanford university USA. He has published various high-impact factor papers in international journals and conference proceedings and served on several conferences IPCs and journal editorial boards. He has number of book chapters and 5 edited books in Springer, CRC and Elsiver Publishers related to Cybersecurity, Privacy and Trust architectures. He has also part of various research projects related to wireless communication, routing and CyberSecurity domains in the UK, China, Ireland, Malaysia, Canada, Dubai, Vietnam and in Pakistan.
Professor Thomas Newe works in the Department of Electronic & Computer Engineering at The University of Limerick where he is a faculty member since 1994. Tom is a Principle and Funded Investigator in a number of national Research Centres. He is a board member of Cyber Ireland, an initiative which brings together Industry, Academia and Government to represent the needs of the Cyber Security Ecosystem in Ireland, and a founding member of CyberSkills, a HEA-HCI Pillar 3 initiative which aims to address the global shortage of cybersecurity professionals. He holds a B.Eng. in Computer Engineering, a Masters in Engineering in Security Protocol Design and a PhD in Formal Logics for Security Protocol Verification. His research interest includes many topics under the general areas of cyber security for Data, Networks, OT and Smart Collaborative Robotics. He has published in excess of 180 journal and conference papers and graduated many PhD students in these areas.
Gwanggil Jeon, PhD, is currently a Full Professor at Incheon National University, Incheon, Korea. He was previously a Visiting Professor at Sichuan University, China, Universitat Pompeu Fabra, Barcelona, Spain, Xinjiang University, China, King Mongkut's Institute of Technology, Ladkrabang, Bangkok, Thailand, and University of Burgundy, Dijon, France. Dr. Jeon is an IEEE Senior Member, an Associate Editor of Sustainable Cities and Society, IEEE Access, Real-Time Image Processing, Journal of System Architecture, and MDPI Remote Sensing. Dr. Jeon was a recipient of the IEEE Chester Sall Award in 2007, the ETRI Journal Paper Award in 2008, and Industry-Academic Merit Award by Ministry of SMEs and Startups of Korea Minister in 2020.
Artificial Intelligence-Based Smart Healthcare Systems: New Standards, Technologies, and Communication Systems discusses the integration of Artificial Intelligence (AI) into healthcare systems, highlighting various aspects, challenges, and solutions related to this emerging field. This book emphasizes the emergence of AI as an integral part of healthcare systems, where AI technologies are utilized to enhance various aspects of healthcare, including diagnostics, treatment, patient care, research, and administrative tasks. These AI-powered networks are designed with intelligent technologies, architectures, and complex topologies to improve data communication, sensing, and monitoring capabilities. It also elaborates on the applications of AI in smart healthcare systems, including patient monitoring, medical image analysis, human pose estimation, speech recognition, and disease diagnosis. AI applications are depicted as tools that enhance patient care, streamline administrative processes, and drive medical research. It discusses the architectural frameworks employed in smart healthcare systems, such as software-defined networks, cloud, edge-based architectures, and mobility-based architectures. The need for scalable, flexible, energy-efficient, and interoperable architectures to accommodate AI integration is highlighted. Additionally, the importance of standards and policies in AI-based healthcare networks is emphasized, considering the unique challenges and requirements of this domain. It presents AI's growing role in healthcare, the applications it enables, the architectural considerations, and the need for robust security, privacy, and standards within the evolving landscape of AI-based healthcare systems.
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