A Survey of Artificial-Intelligence Enabled Digital Transformation in Elderly Healthcare Field

被引：0

作者：

Lee, Ching-Hung ^{[1
]}

Wang, Chang ^{[1
]}

Li, Fan ^{[2
]}

Deng, Qingqing ^{[3
]}

Chang, Danni ^{[4
]}

机构：

[1] Xi An Jiao Tong Univ, Sch Publ Policy & Adm, Xian, Peoples R China

[2] Hong Kong Polytechn Univ, Dept Aeronaut & Aviat Engn, Hong Kong, Peoples R China

[3] Harvard Univ, Sch Design, Cambridge, MA USA

[4] Shanghai Jiao Tong Univ, Sch Design, Shanghai, Peoples R China

来源：

TRANSDISCIPLINARITY AND THE FUTURE OF ENGINEERING | 2022年 / 28卷

关键词：

Artificial Intelligence; elderly healthcare; digital transformation; GAIT CHARACTERISTICS; FRAMEWORK; NETWORK; SYSTEM;

D O I：

10.3233/ATDE220662

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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)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.

引用

页码：330 / 339

页数：10

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