relation: https://khub.utp.edu.my/scholars/19103/
title: Artificial Intelligence Applications in Healthcare
creator: Usmani, U.A.
creator: Happonen, A.
creator: Watada, J.
creator: Khakurel, J.
description: 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.
publisher: Springer Science and Business Media Deutschland GmbH
date: 2023
type: Article
type: PeerReviewed
identifier:   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     
relation: 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
relation: 10.1007/978-981-99-3091-3₈₉
identifier: 10.1007/978-981-99-3091-3₈₉