There are a growing number of challenges in handling medical data in order to provide an effective healthcare service in real-time. Bridging the gap between patient expectations and their experiences needs effective collaboration and connectivity across the healthcare ecosystem. The success of joined-up care relies on patient data being shared between all active stakeholders, including hospitals, outreach workers, and GPs. All these needs and challenges pave the way for the next trend of development in healthcare - healthcare 4.0.
This book covers the state-of-the-art approaches in AI, IOT, cloud, big data, deep learning, and blockchain for building intelligent healthcare 4.0 systems, which provide effective healthcare services in real-time.
The editors consider the benefits and challenges of immersive technologies and mixed reality systems for physical and mental health conditions, and outline and discuss the trending technologies supporting the internet of medical things, patient-centred care, assisted medical diagnoses, and electronic medical records.
Technologies for Healthcare 4.0: From AI and IoT to blockchain is essential reading for researchers, scientists, engineers, designers and advanced students in the fields of computer science, computer vision, pattern recognition, machine learning, imaging, feature engineering, IOT, AI, signal processing, blockchain and big data for healthcare and those in adjacent fields.
Karthik Ramamurthy completed his doctoral degree at the Vellore Institute of Technology Chennai and earned his Master's degree from MIT Campus of Anna University, India. Currently, he holds the position of senior assistant professor in the Centre for Cyber Physical Systems at Vellore Institute of Technology, Chennai. His areas of expertise encompass deep learning, computer vision, digital image processing, and medical image analysis. He has a notable publication record of approximately 70 papers in esteemed peer-reviewed journals and conferences. In addition, he actively serves as a reviewer for scholarly journals published by Elsevier, IEEE, Springer, and Nature.
Suganthi Kulanthaivelu is an associate professor in the School of Electronics Engineering, Vellore Institute of Technology, Chennai, India. She has 20 years of teaching and research experience in wireless sensor networks, Internet of Things applications, image processing, artificial intelligence, and industrial IoT. She has published more than 30 research papers in journals and conferences.
Kulandairaj Martin Sagayam is an assistant professor in the Department of ECE, Karunya University, India. His areas of interest include pattern recognition, artificial intelligence, and signal processing in imaging. He is an active member of the International Society of Promising Computer Engineers, Copernicus, the Scientific Engineering Research Corporation, the International Association of Computer Science and Information Technology, the International Association of Engineers, and the Indian Society of Electronics and Communication Engineering.
Soumi Dutta is an associate professor at the Institute of Engineering & Management, India. Her research interests are data mining, information retrieval, and image processing. She has published 30 papers, 5 book chapters, and 4 patents. She has delivered 27 keynote talks at various international conferences and has been awarded the Rashtriya Shiksha Ratna Award, InSc Research Education Excellence Award, and International Teacher Award (2020-2021) by the Ministry of MSME, Government of India. She is a member of several technical functional bodies such as ACM, IEEE, IFERP, MACUL, SDIWC, Internet Society, ICSES, ASR, AIDASCO, USERN, IRAN, and IAENG.
Paryati is an assistant professor at the National Development University "Veteran" Yogyakarta, Indonesia. Her research interests are genetic algorithms, artificial intelligence, expert systems, data mining, machine learning, deep learning systems, fuzzy logic, data analysis, and smart city information systems. She has published 28 papers, 4 book chapters, and 4 books. She is a member of many technical functional bodies.
