A4 Refereed article in a conference publication
Artificial Intelligence Applications in Healthcare
Authors: Usmani Usmani A, Happonen Ari, Watada Junzo, Khakurel Jayden
Editors: Xin-She Yang, R. Simon Sherratt, Nilanjan Dey, Amit Joshi
Conference name: International Congress on Information and Communication Technology
Publisher: Springer Science and Business Media Deutschland GmbH
Publishing place: Brunel University
Publication year: 2023
Journal: Lecture notes in networks and systems
Book title : ICICT 2023: Proceedings of Eighth International Congress on Information and Communication Technology
Journal name in source: Lecture Notes in Networks and Systems
Series title: Lecture Notes in Networks and Systems
Number in series: 694
Volume: 2
First page : 1085
Last page: 1104
ISBN: 978-981-9930-90-6
eISBN: 978-981-9930-91-3
ISSN: 2367-3370
DOI: https://doi.org/10.1007/978-981-99-3091-3_89
Web address : https://doi.org/10.1007/978-981-99-3091-3_89
The demand of healthcare services is rising, for e.g., Europe and the US are experiencing shortage of healthcare professionals. Artificial intelligence (AI) holds a promise to assist healthcare professionals in wide range of tasks. There is already a large amount of clinical and non-clinical evidence that AI algorithms can analyze both structured and unstructured clinical data (including images) data from electronic medical records (EMRs) with the characterization and prognosis of the disease. However, there is lack of study that provides an overview on what are the clinical applications that currently exist. This study provides an overview on the most powerful AI applications in healthcare, including those that are directly related to healthcare as well as those that are part of the healthcare value chain, such as drug development and ambient assisted living. Moreover, this article also provides an overview on the ethical concerns that may arise with the use of AI in healthcare domain.
