Virtual Reality for Balance in Individuals With Diabetes: A Systematic Review of Assessment and Intervention Strategies

This systematic review summarizes VR as an innovative and interactive approach, demonstrating its applicability and usefulness in both balance assessment and intervention among individuals with DM.

Authors

Institutions

Publication Details

Journal
Journal of Diabetes Science and Technology
Published
2025-09-25
DOI
https://doi.org/10.1177/19322968251375370
Primary Topic
Diabetic Foot Ulcer Assessment and Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Virtual Reality for Balance in Individuals With Diabetes: A Systematic Review of Assessment and Intervention Strategies

Patricia M. Kluding, Hannes Devos, John M. Miles, Kai Cheng et al.
Journal of Diabetes Science and Technology
Diabetic Foot Ulcer Assessment and Management
article

Virtual Reality for Balance in Individuals With Diabetes: A Systematic Review of Assessment and Intervention Strategies

Patricia M. Kluding, Hannes Devos, John M. Miles, Kai Cheng, Chun‐Kai Huang, Fatimah Alkhameys
article en

Abstract

This systematic review summarizes VR as an innovative and interactive approach, demonstrating its applicability and usefulness in both balance assessment and intervention among individuals with DM.

Journal of Diabetes Science and Technology
Diabetes Australia (AU), The University of Kansas Cancer Center (US), University of Kansas Medical Center (US)
Openalex Percentile: Top 64%
Diabetic Foot Ulcer Assessment and Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.