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

共 50 条

[1] Artificial intelligence-enabled digital transformation in elderly healthcare field: Scoping review
Lee, Ching-Hung
Wang, Chang
Fan, Xiaojing
Li, Fan
Chen, Chun-Hsien
[J]. ADVANCED ENGINEERING INFORMATICS, 2023, 55
[2] ARTIFICIAL-INTELLIGENCE - A SURVEY
CURNOW, HJ
[J]. INFORMATION AGE, 1985, 7 (01): : 10 - 14
[3] ARTIFICIAL-INTELLIGENCE DATABASES - A SURVEY AND COMPARISON
STERN, D
[J]. DATABASE, 1990, 13 (04): : 19 - 24
[4] A SURVEY ON TEMPORAL REASONING IN ARTIFICIAL-INTELLIGENCE
VILA, L
[J]. AI COMMUNICATIONS, 1994, 7 (01) : 4 - 28
[5] ARTIFICIAL-INTELLIGENCE TECHNIQUES IN THE ANALYSIS OF DIGITAL SEISMOGRAMS
CHIARUTTINI, C
SALEMI, G
[J]. COMPUTERS & GEOSCIENCES, 1993, 19 (02) : 149 - 156
[6] TEACHING ARTIFICIAL-INTELLIGENCE - AN IEEE EXPERT SURVEY
STROK, D
[J]. IEEE EXPERT-INTELLIGENT SYSTEMS & THEIR APPLICATIONS, 1992, 7 (02): : 59 - 63
[7] ARTIFICIAL-INTELLIGENCE AND SOFTWARE ENGINEERING - A SURVEY OF POSSIBILITIES
PARTRIDGE, D
[J]. INFORMATION AND SOFTWARE TECHNOLOGY, 1988, 30 (03) : 146 - 152
[8] Artificial intelligence-enabled healthcare delivery
Reddy, Sandeep
Fox, John
Purohit, Maulik P.
[J]. JOURNAL OF THE ROYAL SOCIETY OF MEDICINE, 2019, 112 (01) : 22 - 28
[9] Artificial Intelligence Pathologist: The use of Artificial Intelligence in Digital Healthcare
Kaddour, Asmaa Ben Ali
Abdulaziz, Nidhal
[J]. 2021 IEEE GLOBAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND INTERNET OF THINGS (GCAIOT), 2021, : 31 - 36
[10] Healthcare Transformation in Singapore With Artificial Intelligence
Liu, Siqi
Ko, Qianwen Stephanie
Heng, Kun Qiang Amos
Ngiam, Kee Yuan
Feng, Mengling
[J]. FRONTIERS IN DIGITAL HEALTH, 2020, 2

← 1 2 3 4 5 →