@inproceedings{fbc7872297fc4c37aad7d5973b965766,
title = "A Survey of Artificial-Intelligence Enabled Digital Transformation in Elderly Healthcare Field",
abstract = "With 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) 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.",
keywords = "Artificial Intelligence, digital transformation, elderly healthcare",
author = "Lee, {Ching Hung} and Chang Wang and Fan Li and Qingqing Deng and Danni Chang",
note = "Publisher Copyright: {\textcopyright} 2022 The authors and IOS Press.",
year = "2022",
month = oct,
day = "31",
doi = "10.3233/ATDE220662",
language = "English",
series = "Advances in Transdisciplinary Engineering",
publisher = "IOS Press BV",
pages = "330--339",
editor = "Moser, {Bryan R.} and Moser, {Bryan R.} and Pisut Koomsap and Josip Stjepandic",
booktitle = "Transdisciplinarity and the Future of Engineering - Proceedings of the 29th International Society of Transdisciplinary Engineering (ISTE) Global Conference",
}