eprintid: 19103
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/91/03
datestamp: 2024-06-04 14:11:33
lastmod: 2024-06-04 14:11:33
status_changed: 2024-06-04 14:04:52
type: article
metadata_visibility: show
creators_name: Usmani, U.A.
creators_name: Happonen, A.
creators_name: Watada, J.
creators_name: Khakurel, J.
title: Artificial Intelligence Applications in Healthcare
ispublished: pub
keywords: Diagnosis; Industry 4.0; Medical computing; Medical imaging, Artificial intelligence algorithms; Digitalization; Employee shortage; Health care professionals; Healthcare; Healthcare services; Healthcare sustainability; Large amounts; Machine-learning; Pandemic, Machine learning
note: cited By 4; Conference of 8th International Congress on Information and Communication Technology, ICICT 2023 ; Conference Date: 20 February 2023 Through 23 February 2023; Conference Code:298799
abstract: 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. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
date: 2023
publisher: Springer Science and Business Media Deutschland GmbH
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174709494&doi=10.1007%2f978-981-99-3091-3_89&partnerID=40&md5=850fbadec600a6795240c1a560e82812
id_number: 10.1007/978-981-99-3091-3₈₉
full_text_status: none
publication: Lecture Notes in Networks and Systems
volume: 694 LN
pagerange: 1085-1104
refereed: TRUE
isbn: 9789819930906
issn: 23673370
citation:   Usmani, U.A. and Happonen, A. and Watada, J. and Khakurel, J.  (2023) Artificial Intelligence Applications in Healthcare.  Lecture Notes in Networks and Systems, 694 LN.  pp. 1085-1104.  ISSN 23673370