Evidence map›Paper›PMID 40835985›Full record

ArticleScientific reports2025

A smart secure virtual reality immersive application for alzheimer's and dementia patients.

Murad Al-Rajab, Joan Lu, Saad Amawi, Nourhan Elmehalawy, Bdour Babillie, Yazan Alasmi, Hanan Sheikh Ibrahim, Samer Ellahham, Ahlam Sawsaa, Shadi Al Zraiqat

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

10 authors.

Murad Al-RajabAbu Dhabi University, Abu Dhabi, UAE. murad.al-rajab@adu.ac.ae.
Joan LuLeeds Beckett University, Leeds, UK.
Saad AmawiAbu Dhabi University, Abu Dhabi, UAE.
Nourhan ElmehalawyAbu Dhabi University, Abu Dhabi, UAE.
Bdour BabillieAbu Dhabi University, Abu Dhabi, UAE.
Yazan AlasmiAbu Dhabi University, Abu Dhabi, UAE.
Hanan Sheikh IbrahimCleveland Clinic Hospital Abu Dhabi, Abu Dhabi, UAE.
Samer EllahhamCleveland Clinic Hospital Abu Dhabi, Abu Dhabi, UAE.
Ahlam SawsaaBradford Institution for Health Research, Bradford, UK.
Shadi Al ZraiqatDepartment of Government Enablement, Abu Dhabi, UAE.

Funding

United Al-Saqer Grants Initiative and Abu Dhabi University's Office of Research and Sponsored Programs 19300840
6 · The paper itself

Abstract

Alzheimer's disease (AD) poses significant challenges for the elderly, leading to cognitive decline, social isolation, and lower quality of life. Current interventions often require cumbersome wearable devices e.g. the camera-based monitoring that may raise privacy concerns. However, these issues are not fully addressed previously. To fill this gap, this research proposes a new framework in non-invasive combination of Virtual Reality (VR), Voice recognition, and Artificial Intelligence (AI) to act as a supportive system for people with AD. The system provides a brand-new approach that tailored cognitive stimulation and companionship through the immersive VR scenarios, memory games, virtual trips, and an AI assistant together as a single platform. The AI-based assessment of the patient is employed to ensure that the experience is more relevant and helpful to the patient. The voice recognition is the most simple and easy user-interface. The security measures include access controls, encryption and continuous monitoring of cloud patient data. The initial study has been promising evidenced by the outcome of involving patients with Alzheimer's and dementia, their families, and clinicians. Participants reported heightened interest, better quality of life, less sense of isolation, and improved cognitive functioning, which have particularly achieved one of our goals, in patients' well-beings in mental healthcare. The research indicates a significant step forward enhancing the quality of support for both cognitive function and social interaction for older adults with AD and dementia. In comparison with other currently existing systems, our newly developed integrated framework has made additional contributions to the areas of AD in dynamic cognitive adaptation, bilingual interaction, and secure real-time personalized system.

Indexed as

Alzheimer DiseaseDementiaVirtual RealityAgedAged, 80 and overArtificial IntelligenceFemaleHumansMaleQuality of LifeAlzheimer’s disease (AD)Artificial intelligence (AI)Cognitive stimulationDementiaQuality of lifeVirtual reality (VR)Voice recognition

Identifiers

PMID40835985
PMCPMC12368147

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.