Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/113117
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dc.contributorDepartment of Aeronautical and Aviation Engineering-
dc.creatorLee, CH-
dc.creatorWang, C-
dc.creatorLi, F-
dc.creatorDeng, Q-
dc.creatorChang, D-
dc.date.accessioned2025-05-19T00:53:18Z-
dc.date.available2025-05-19T00:53:18Z-
dc.identifier.isbn978-1-64368-338-6 (print)-
dc.identifier.isbn978-1-64368-339-3 (online)-
dc.identifier.urihttp://hdl.handle.net/10397/113117-
dc.language.isoenen_US
dc.rights© 2022 The authors and IOS Press.en_US
dc.rightsThis article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/).en_US
dc.rightsThe following publication Ching-Hung Lee, C.-, Wang, C., Li, F., Deng, Q. & Chang, D. (2022). A Survey of Artificial-Intelligence Enabled Digital Transformation in Elderly Healthcare Field. In B. R. Moser, P. Koomsap & J. Stjepandić (Eds.), Transdisciplinarity and the Future of Engineering: Proceedings of the 29th International Society of Transdisciplinary Engineering (ISTE) Global Conference, July 5–July 8, 2022, Cambridge, MA, USA (p. 330-339). Amsterdam, Netherlands: IOS Press: IOS Press. is available at https://dx.doi.org/10.3233/ATDE220662.en_US
dc.subjectArtificial Intelligenceen_US
dc.subjectElderly healthcareen_US
dc.subjectDigital transformationen_US
dc.titleA survey of artificial-intelligence enabled digital transformation in elderly healthcare fielden_US
dc.typeConference Paperen_US
dc.identifier.spage330-
dc.identifier.epage339-
dc.identifier.doi10.3233/ATDE220662-
dcterms.abstractWith the rapid growth of the elderly population, traditional elderly healthcare services can hardly meet the dynamic and uncertain demand and higher customer expectations. With the digital transformation with digital technological enablers of the elderly-related industry rising globally, Artificial Intelligence (AI)o(3) has begun to play a disruptive and critical role in the elderly healthcare industry. But there is still a lack of a holistic review about AI-enabled digital transformation (DT) in the elderly healthcare field. Therefore, 59 works of literature published from 2000 through 2021 were extracted and analysed from Web of Science. This study focuses on the application scenarios, the AI approach used, and the benefits of AI-enabled DT. And this literature review lays the foundation for future research in the elderly healthcare field.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIn B. R. Moser, P. Koomsap & J. Stjepandić (Eds.), Transdisciplinarity and the Future of Engineering: Proceedings of the 29th International Society of Transdisciplinary Engineering (ISTE) Global Conference, July 5–July 8, 2022, Cambridge, MA, USA, p. 330-339. Amsterdam, Netherlands: IOS Press.-
dcterms.issued2024-
dc.identifier.isiWOS:001175836300033-
dc.relation.ispartofbookProceedings of the 29th International Society of Transdisciplinary Engineering (ISTE) Global Conference, July 5–July 8, 2022, Cambridge, MA, USA-
dc.relation.conferenceInternational Society of Transdisciplinary Engineering (ISTE) Global Conference-
dc.publisher.placeAmsterdam, Netherlandsen_US
dc.description.validate202505 bcrc-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.fundingSourceSelf-fundeden_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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