RESEARCH, WITH CONTEXT

QuickMind VR Clinical Evidence

Study summaries, findings and original sources.

Study institutions are shown as author affiliations, without implying endorsement. Results apply to the studied technology and population.

4 articles Selected Research · Reviewed November 2026
2024Meta-analysis
Independent field evidenceAdult VR · Rehabilitation Research

Yu J, Song J, Shen Q · Frontiers in Human Neuroscience

This review pooled 11 randomized trials involving 525 participants with mild cognitive impairment. It reported improvements in global cognition, attention and executive function, while memory effects were not statistically significant.

Evidence scope: Independent research across different VR interventions, not a trial of QuickMind VR. Differences in study quality, interventions and populations limit generalization to a marketed device.

DOI: 10.3389/fnhum.2024.1467697

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QuickMind VR
2024Clinical study
YIWEI-coauthored screening researchScreening · VR & eye tracking

Xu Y, Zhang C, Pan B, Yuan Q, Zhang X · npj Digital Medicine

Study team: Shenzhen Baoan Chronic Disease Prevention and Cure Hospital

The VECA study evaluated eye tracking, VR and machine learning in 201 participants in Shenzhen. The model predicted MoCA scores and classified cognitive impairment across educational groups.

Evidence scope: Single-location study; performance is specific to the studied population and model. Correlation is not diagnostic accuracy. International validation and marketed-version equivalence require confirmation.

npj Digital Medicine. 2024;7:219.

DOI: 10.1038/s41746-024-01206-5

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QuickMind VR
2024Clinical study
Study using Dr.Brain™ technologyScreening & diagnosis · MRI + eye tracking

Wei ZN et al. · Chinese Journal of Magnetic Resonance Imaging

Study team: Peking University Shenzhen Hospital

A study of 77 early-AD patients and 58 cognitively unimpaired participants combined Dr.Brain™ hippocampal measurements with VR eye-tracking assessment. The combined model had an AUC of 0.825, compared with 0.629 for hippocampal volume alone.

Evidence scope: Single-center, cross-sectional study with education imbalance. The combined model result is not a standalone product claim or proof of population-wide diagnostic performance.

Chinese Journal of Magnetic Resonance Imaging. 2024;15(6):49–53.

DOI: 10.12015/issn.1674-8034.2024.06.007

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QuickMind MRIQuickMind VR
2024Clinical study
YIWEI-coauthored screening researchScreening · Community research

Zhang Y et al. · BMC Public Health

Study team: Shenzhen Center for Chronic Disease Control

Among 823 adults aged 65 or older in Shenzhen, machine-learning models combined AD8 responses with health characteristics to screen for cognitive impairment. The multilayer perceptron achieved an AUC of 0.83 ± 0.04, compared with 0.65 for the AD8 reference approach.

Evidence scope: Community data with cross-validation, without independent international validation. This AD8-based model does not directly establish VR hardware performance, rehabilitation efficacy or full-pathway dementia outcomes.

BMC Public Health. 2024;24:1206.

DOI: 10.1186/s12889-024-18692-7

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