The application scenarios study on the intervention of cognitive decline in elderly population using metaverse technology.
10.7507/1001-5515.202208092
- Author:
Defu ZHOU
1
;
Yi JIN
1
;
Ying CHEN
2
Author Information
1. Suzhou Vocational University Jiangsu Province Support Software Engineering R&D Center for Modern Information Technology Application in Enterprise, Suzhou, Jiangsu 215104, P. R. China.
2. Wuxi Maternity and Child Health Care Hospital, Women's Hospital of Jiangnan University, Wuxi, Jiangsu 214002, P. R. China.
- Publication Type:Journal Article
- Keywords:
Artificial intelligence;
Cognitive decline;
Mental health;
Metaverse in medicine
- MeSH:
Aged;
Humans;
Cognitive Dysfunction/prevention & control*;
Aging;
China;
Internet;
Technology
- From:
Journal of Biomedical Engineering
2023;40(3):573-581
- CountryChina
- Language:Chinese
-
Abstract:
China is facing the peak of an ageing population, and there is an increase in demand for intelligent healthcare services for the elderly. The metaverse, as a new internet social communication space, has shown infinite potential for application. This paper focuses on the application of the metaverse in medicine in the intervention of cognitive decline in the elderly population. The problems in assessment and intervention of cognitive decline in the elderly group were analyzed. The basic data required to construct the metaverse in medicine was introduced. Moreover, it is demonstrated that the elderly users can conduct self-monitoring, experience immersive self-healing and health-care through the metaverse in medicine technology. Furthermore, we proposed that it is feasible that the metaverse in medicine has obvious advantages in prediction and diagnosis, prevention and rehabilitation, as well as assisting patients with cognitive decline. Risks for its application were pointed out as well. The metaverse in medicine technology solves the problem of non-face-to-face social communication for elderly users, which may help to reconstruct the social medical system and service mode for the elderly population.
