University of Oulu

Su, Z., Bentley, B. L., McDonnell, D., Ahmad, J., He, J., Shi, F., Takeuchi, K., Cheshmehzangi, A., & Da Veiga, C. P. (2022). 6g and artificial intelligence technologies for dementia care: Literature review and practical analysis. Journal of Medical Internet Research, 24(4), e30503.

6G and artificial intelligence technologies for dementia care : literature review and practical analysis

Saved in:
Author: Su, Zhaohui1; Bentley, Barry L.2; McDonnell, Dean3;
Organizations: 1School of Public Health, Southeast University, Nanjing, China
2Cardiff School of Technologies, Cardiff Metropolitan University, Cardiff, United Kingdom
3Department of Humanities, Institute of Technology Carlow, Carlow, Ireland
4Prime Institute of Public Health, Peshawar Medical College, Peshawar, Pakistan
5Centre for Wireless Communications, University of Oulu, Oulu, Finland
6Department of Research and Development, Shanghai United Imaging Intelligence, Shanghai, China
7Ory Laboratory Inc, Tokyo, Japan
8Kanagawa Institute of Technology, Kanagawa, Japan
9Department of Architecture and Built Environment, University of Nottingham Ningbo China, Ningbo, China
10Network for Education and Research on Peace and Sustainability, Hiroshima University, Hiroshima, Japan
11Fundação Dom Cabral, Nova Lima, Brazil
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 0.8 MB)
Persistent link:
Language: English
Published: JMIR Publications, 2022
Publish Date: 2023-03-08


Background: The dementia epidemic is progressing fast. As the world’s older population keeps skyrocketing, the traditional incompetent, time-consuming, and laborious interventions are becoming increasingly insufficient to address dementia patients’ health care needs. This is particularly true amid COVID-19. Instead, efficient, cost-effective, and technology-based strategies, such as sixth-generation communication solutions (6G) and artificial intelligence (AI)-empowered health solutions, might be the key to successfully managing the dementia epidemic until a cure becomes available. However, while 6G and AI technologies hold great promise, no research has examined how 6G and AI applications can effectively and efficiently address dementia patients’ health care needs and improve their quality of life.

Objective: This study aims to investigate ways in which 6G and AI technologies could elevate dementia care to address this study gap.

Methods: A literature review was conducted in databases such as PubMed, Scopus, and PsycINFO. The search focused on three themes: dementia, 6G, and AI technologies. The initial search was conducted on April 25, 2021, complemented by relevant articles identified via a follow-up search on November 11, 2021, and Google Scholar alerts.

Results: The findings of the study were analyzed in terms of the interplay between people with dementia’s unique health challenges and the promising capabilities of health technologies, with in-depth and comprehensive analyses of advanced technology-based solutions that could address key dementia care needs, ranging from impairments in memory (eg, Egocentric Live 4D Perception), speech (eg, Project Relate), motor (eg, Avatar Robot Café), cognitive (eg, Affectiva), to social interactions (eg, social robots).

Conclusions: To live is to grow old. Yet dementia is neither a proper way to live nor a natural aging process. By identifying advanced health solutions powered by 6G and AI opportunities, our study sheds light on the imperative of leveraging the potential of advanced technologies to elevate dementia patients’ will to live, enrich their daily activities, and help them engage in societies across shapes and forms.

see all

Series: Journal of medical internet research
ISSN: 1439-4456
ISSN-E: 1438-8871
ISSN-L: 1439-4456
Volume: 24
Issue: 4
Article number: e30503
DOI: 10.2196/30503
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
217 Medical engineering
Copyright information: © Authors 2022. This is an open-access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on, as well as this copyright and license information must be included.