Collection

AI Augmented Healthcare Systems and Services

Submission status
Closed

Overview

Interest and advances in AI applications in healthcare have surged in recent years. There already are several AI applications in medicine that are used in a variety of ways, such as clinical, diagnostic, rehabilitative, surgical, and predictive practices. AI-augmented technologies can devour and analyze and help detect disease and guide clinical decisions. This is mostly due the amount of “big” data generated, especially from imaging. AI applications can handle the vast amount of data produced and find new information that would otherwise remain hidden in the mass of medical big data. Apart from disease prevention, where AI can facilitate lifestyle changes and mitigate future disease risks, identification of new drugs for health services management and patient care treatments are additional areas that AI can support. The latest advances are in wearable antennas that can be employed on people of all ages, athletes, and patients for a continuous monitoring of vital signs as well as a cellular activity.

The curation of this topical collection is motivated by the growing number of articles published in literature on AI & Healthcare and the challenges that are discussed therein. It is hoped that its contents will illuminate the existing issues in the current AI applications in and advance investigations that will ultimately translate to real-world clinical use.

Topics of Interest

The scope of the collection will cover but not be limited to:

- ML and DL applications in healthcare and health services

- Big Data and Data Analytics in clinical imaging

- AI-Augmented medical image analysis

- Uses of immersive (VR, AR, MR and ER) technologies in healthcare

- Individualized patient care

- Wearable antennas for in-body, on-body and off-body communication

- AI-enabled precision medicine

- AI-enabled drug discovery

- Use of AI for personalisation of healthcare services

- Patient-centered innovation of healthcare AI as well as challenges and opportunities to this type of innovation

- AI solutions for health promotion and disease prevention

- AI solutions for healthcare management

Keywords: Artificial Intelligence in Healthcare, Immersive Technologies in Healthcare, Big Data and Data Analytics in Healthcare and Services, AI-Augmented Prognosis, Diagnosis and Treatment, Artificial Intelligence for Healthcare Management, Personalisation of Healthcare Services, Patient-Centered Innovation.

Editors

  • Okyay Kaynak Okyay Kaynak , 

    Okyay Kaynak

    Prof. Okyay Kaynak,Bogazici University, Turkey He received a Ph.D. degree from the University of Birmingham, U.K., in 1972. From 1972 to 1979, he held various positions in the industry. In 1979, he joined Bogazici University, Istanbul, Turkey, where he is currently a Professor Emeritus, holding the UNESCO Chair on Mechatronics. He has held long-term (near to or more than a year) Visiting Professor/Scholar positions at various institutions in Japan, Germany, USA, Singapore, and China. Recently, he has received the Humboldt Research Prize the International Research Prize of the Turkish Academy of Sciences. He is a member of this Academy.

  • Shen Yin Shen Yin , 

    Shen Yin

    Prof. Shen Yin, Norwegian University of Science and Technology, Norway He received the M.Sc. degree in control and information system and the Ph.D. degree in electrical engineering and information technology, University of Duisburg-Essen, Germany, in 2007 and 2012, respectively. He is currently a DNV-GL Professor with the Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology. His research interests include safety, reliability of complicated systems, system and control theory, data-driven and machine learning approaches, and applications in human health diagnosis.

  • Vanni Angoletti Vanni Angoletti , 

    Vanni Angoletti

    Dr. Vanni Angoletti, “M. Bufalini” Hospital, Italy He earned his bachelor’s degree in Medicine in 1996 and a master’s degree in Anesthesiology and Reanimation in 2000 from the University of Bologna. He served as the Director of the Complex Anesthesiology and Reanimation Unit at the Arcispedale Santa Maria Nuova Hospital in Reggio Emilia for two years (2014-2016) and he is currently serving at the Central Trauma Center "Maurizio Bufalini Hospital" in Cesena, as the Director of Complex Anesthesiology and Reanimation (2016 - to the current day). He has published 137 scientific papers and has a h-index of 20 on Scopus.

  • Rodolfo Catena Rodolfo Catena  &

    Rodolfo Catena

    Dr. Rodolfo Catena, UCL, UK He is a Lecturer of Operations and Supply Chain Management at the Global Business School for Health at University College London. Rodolfo has a background in engineering, he has a Master’s from UC Berkeley and two degrees from the Faculty of Engineering at the University of Bologna. Rodolfo has a doctorate in Management Studies from Saïd Business School, University of Oxford where he has specialised in Operations Management. Rodolfo has received the title of Associate Scholar from the University of Oxford and he conducts research in Operations Management and Value-Based Health Care.

  • Marzena Nieroda Marzena Nieroda

    Marzena Nieroda

    Dr. Marzena Nieroda, UCL, UK She is an Assistant Professor of Marketing and Commercialisation for Healthcare and the Deputy Director for Partnerships and Enterprise at UCL Global Business School for Health. Her research evolves around personalisation of consumer journeys in complex services and is grounded in core marketing concepts, mainly consumer behaviour, consumer-based communication strategy, products, services and brand management. She is interested in marketing of technology-based innovations, predominantly in the healthcare settings.

Articles (6 in this collection)