Evidence map›Paper›PMID 38974699›Full record

ReviewThe Pan African medical journal2024

The future of telerehabilitation: embracing virtual reality and augmented reality innovations.

Waqar Mohsin Naqvi, Ifat Waqar Naqvi, Gaurav Vedprakash Mishra, Vishnu Diwakar Vardhan

Abstract readReview
In one paragraph

Review in The Pan African medical journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Review
  6. 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

4 authors.

Waqar Mohsin NaqviDepartment of Physiotherapy, College of Health Sciences, Gulf Medical University, Ajman, United Arab Emirates.
Ifat Waqar NaqviRavi Nair Physiotherapy College, Datta Meghe Institute of Higher Education and Research, Wardha, India.
Gaurav Vedprakash MishraFaculty of Health Professions Education, Datta Meghe Institute of Higher Education and Research, Wardha, India.
Vishnu Diwakar VardhanRavi Nair Physiotherapy College, Datta Meghe Institute of Higher Education and Research, Wardha, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The integration of virtual reality (VR) and augmented reality (AR) into the telerehabilitation initiates a major change in the healthcare practice particularly in neurological and also orthopedic rehabilitation. This essay reflects the potential of the VR and AR in their capacity to create immersive, interactive environments that facilitate the recovery. The recent developments have illustrated the ability to enhance the patient engagement and outcomes, especially in tackling the complex motor and cognitive rehabilitation needs. The combination of artificial intelligence (AI) with VR and AR will bring the rehabilitation to the next level by enabling adaptive and responsive treatment programs provided through real-time feedback and predictive analytics. Nevertheless, the issues such as availability, cost, and digital gap among many others present huge obstacles to the mass adoption. This essay provides a very thorough review of the existing level of virtual reality and augmented reality in rehabilitation and examines the many potential gains, drawbacks, and future directions from a different perspective.

Indexed as

Artificial IntelligenceAugmented RealityTelerehabilitationVirtual RealityHumansNeurological Rehabilitationaugmented realityTele-rehabilitationvirtual reality

Identifiers

PMID38974699
PMCPMC11226757

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.