Evidence map›Paper›PMID 35475733›Full record

ReviewJournal of medical Internet research2022

6G and Artificial Intelligence Technologies for Dementia Care: Literature Review and Practical Analysis.

Zhaohui Su, Barry L Bentley, Dean McDonnell, Junaid Ahmad, Jiguang He, Feng Shi, Kazuaki Takeuchi, Ali Cheshmehzangi, Claudimar Pereira da Veiga

Abstract readReview
In one paragraph

Review in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Digital Therapeutics in China: Comprehensive Review.Journal of medical Internet research · 2025
    Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Bridging Gaps in Sundown Syndrome Research: a Scoping Review and Roadmap for Future Multimodal Approaches.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2025
    Article
  9. Review
  10. Article
  11. Artificial Intelligence in Dementia: A Bibliometric Study.Diagnostics (Basel, Switzerland) · 2023
    Article
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Zhaohui SuSchool of Public Health, Southeast University, Nanjing, China.ORCID 0000-0003-2005-9504
Barry L BentleyCardiff School of Technologies, Cardiff Metropolitan University, Cardiff, United Kingdom.ORCID 0000-0002-4360-5902
Dean McDonnellDepartment of Humanities, Institute of Technology Carlow, Carlow, Ireland.ORCID 0000-0001-6043-8272
Junaid AhmadPrime Institute of Public Health, Peshawar Medical College, Peshawar, Pakistan.ORCID 0000-0002-8580-7529
Jiguang HeCentre for Wireless Communications, University of Oulu, Oulu, Finland.ORCID 0000-0002-6227-2138
Feng ShiDepartment of Research and Development, Shanghai United Imaging Intelligence, Shanghai, China.ORCID 0000-0003-1522-9943
Kazuaki TakeuchiOry Laboratory Inc, Tokyo, Japan.ORCID 0000-0003-1889-376X
Ali CheshmehzangiDepartment of Architecture and Built Environment, University of Nottingham Ningbo China, Ningbo, China.ORCID 0000-0003-2657-4865
Claudimar Pereira da VeigaFundação Dom Cabral, Nova Lima, Brazil.ORCID 0000-0002-4960-5954

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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.

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

methodsA 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.

resultsThe 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).

conclusionsTo 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.

Indexed as

COVID-19DementiaArtificial IntelligenceHumansQuality of LifeTechnology6Gartificial intelligenceCOVID-19dementiadigital healthfirst-perspective health solutions

Identifiers

PMID35475733
PMCPMC9096635

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.