Evidence map›Paper›PMID 37033028›Full record

SynthesisFrontiers in public health2023

A systematic review: Virtual-reality-based techniques for human exercises and health improvement.

Saba Ghazanfar Ali, Xiangning Wang, Ping Li, Younhyun Jung, Lei Bi, Jinman Kim, Yuting Chen, David Dagan Feng, Nadia Magnenat Thalmann, Jihong Wang and 1 more

Registry-linked trialOpen access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07362368 (Validity and Reliability of the Immersive Virtual Reality Adaptation of the Five-Repetition Sit-to- Stand Test in Asymptomatic Young Adults), which is not on this map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
16.7field-weighted citation impact, top 1% of its field
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.

NCT07362368 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Validity and Reliability of the Immersive Virtual Reality Adaptation of the Five-Repetition Sit-to- Stand Test in Asymptomatic Young Adults

TypeobservationalSponsorSelcuk UniversityRan2026 to 2026Enrolled60ConditionsFunctional Mobility, Virtual Reality-Based Functional AssessmentArmsClinical Assessments
3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 78 citations in OpenAlex.

  1. Pooled it
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  12. Review
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  16. An Umbrella Review of the Fusion of fMRI and AI in Autism.Diagnostics (Basel, Switzerland) · 2023
    Review
  17. Article
  18. Article
  19. Review
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

11 authors at 7 institutions in 5 countries.

Saba Ghazanfar AliDepartment of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China.
Xiangning WangDepartment of Ophthalmology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Ping LiDepartment of Computing, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China.
Younhyun JungSchool of Computing, Gachon University, Seongnam, Republic of Korea.
Lei BiBiomedical and Multimedia Information Technology Research Group, School of Computer Science, The University of Sydney, Sydney, NSW, Australia.
Jinman KimBiomedical and Multimedia Information Technology Research Group, School of Computer Science, The University of Sydney, Sydney, NSW, Australia.
Yuting ChenDepartment of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China.
David Dagan FengBiomedical and Multimedia Information Technology Research Group, School of Computer Science, The University of Sydney, Sydney, NSW, Australia.
Nadia Magnenat ThalmannMIRALab, University of Geneva, Geneva, Switzerland.
Jihong WangShanghai University of Sport, Shanghai, China.
Bin ShengDepartment of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China.
Shanghai Jiao Tong University · CNUniversity of Sydney · AUGachon University · KRHong Kong Polytechnic University · HKShanghai Sixth People's Hospital · CNShanghai University of Sport · CNUniversity of Geneva · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Virtual Reality (VR) has emerged as a new safe and efficient tool for the rehabilitation of many childhood and adulthood illnesses. VR-based therapies have the potential to improve both motor and functional skills in a wide range of age groups through cortical reorganization and the activation of various neuronal connections. Recently, the potential for using serious VR-based games that combine perceptual learning and dichoptic stimulation has been explored for the rehabilitation of ophthalmological and neurological disorders. In ophthalmology, several clinical studies have demonstrated the ability to use VR training to enhance stereopsis, contrast sensitivity, and visual acuity. The use of VR technology provides a significant advantage in training each eye individually without requiring occlusion or penalty. In neurological disorders, the majority of patients undergo recurrent episodes (relapses) of neurological impairment, however, in a few cases (60-80%), the illness progresses over time and becomes chronic, consequential in cumulated motor disability and cognitive deficits. Current research on memory restoration has been spurred by theories about brain plasticity and findings concerning the nervous system's capacity to reconstruct cellular synapses as a result of interaction with enriched environments. Therefore, the use of VR training can play an important role in the improvement of cognitive function and motor disability. Although there are several reviews in the community employing relevant Artificial Intelligence in healthcare, VR has not yet been thoroughly examined in this regard. In this systematic review, we examine the key ideas of VR-based training for prevention and control measurements in ocular diseases such as Myopia, Amblyopia, Presbyopia, and Age-related Macular Degeneration (AMD), and neurological disorders such as Alzheimer, Multiple Sclerosis (MS) Epilepsy and Autism spectrum disorder. This review highlights the fundamentals of VR technologies regarding their clinical research in healthcare. Moreover, these findings will raise community awareness of using VR training and help researchers to learn new techniques to prevent and cure different diseases. We further discuss the current challenges of using VR devices, as well as the future prospects of human training.

Indexed as

Autism Spectrum DisorderMotor DisordersNervous System DiseasesPersons with DisabilitiesVirtual RealityArtificial IntelligenceChildHumansage-related macular degenerationAlzheimeramblyopiaepilepsymultiple sclerosismyopiapresbyopiavirtual reality

Identifiers

PMID37033028
PMCPMC10076722
OpenAlexW4360619005

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.