Evidence map›Paper›PMID 42326106›Full record

ReviewCureus2026

From Concept to Clinic: A Scoping Review of Robotics and Virtual Reality-Assisted Rehabilitation Protocols in Neurological and Orthopaedic Conditions.

Mugdha D Oberoi, Diya Barmecha, Summaiya Zareen Shaikh, Anjali S Puntambekar

Abstract readReview
In one paragraph

Review in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Mugdha D OberoiElectrotherapy and Electrodiagnosis, K.J. Somaiya College of Physiotherapy, Mumbai, IND.
Diya BarmechaBiomedical Sciences, University College London (UCL), London, GBR.
Summaiya Zareen ShaikhNeuro Physiotherapy, The SIA College of Health Sciences, College of Physiotherapy, Thane, IND.
Anjali S PuntambekarMusculoskeletal Physiotherapy, The SIA College of Health Sciences, College of Physiotherapy, Thane, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Robotics and virtual reality (VR) have shifted physiotherapy away from traditional hands-on treatment toward more technologically driven rehabilitation. These tools, ranging from exoskeletons and gait trainers to immersive VR environments, introduced a new way of approaching neuro-muscular recovery. Robotic systems provided precise movement data and real-time feedback, making sessions more personalised and consistent. VR and gamification placed patients in interactive environments that improved engagement and helped reduce pain perception. Together, these technologies offered a more dynamic approach to rehabilitation while also enabling better progress tracking for both clinicians and patients. However, this shift was not without its challenges. Much of the research surrounding these technologies focused on device efficacy rather than providing workable clinical protocols. This left clinicians without clear guidance, contributing to apprehension around adoption. The absence of structured training programmes and regulatory frameworks only added to this uncertainty, making it difficult to implement these systems alongside existing physiotherapy practice. This scoping review aimed to address these gaps by mapping existing rehabilitation protocols that incorporated robotic and VR technologies. Session frequency and duration, patient selection criteria, and integration with conventional therapies were all examined. The theoretical foundations of each protocol were considered alongside reported clinical outcomes. The overall aim was to support a smoother transition toward a hybrid model of care, one that combines the precision of technology with the clinical expertise of physiotherapists, ultimately improving both functional outcomes and patient engagement in rehabilitation settings.

Indexed as

gamification in healthcareneurological conditionsorthopedic conditionsphysiotherapy interventionroboticsvirtual reality simulationvr assisted rehabilitation

Identifiers

PMID42326106
PMCPMC13278756

What OpenQuestion holds

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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.