− HEALTH The FDA received a malfunction report involving Inogen one g5 oxygen concentrator, made by Inogen, Inc.. Rece…+ HEALTH Objective We systematically evaluated the diagnostic performance of artificial intelligence (AI)-assisted int…− HEALTH BackgroundFall-related injuries in older adults remain a major health concern, contributing to functional dep…− CLIMATE Background Chronic inflammation is a major driver of cardiovascular diseases, but mechanisms linking systemic…− HEALTH Disease macroecology relies on large, complex datasets to understand the biotic and abiotic factors shaping p…− HEALTH Background National Surgical Quality Improvement Program (NSQIP) data collection depends on labor-intensive m…+ HEALTH ObjectivePerceptual evaluation by speech-language pathologists (SLPs) is essential for initial evaluation of…− HEALTH Background Heart failure with preserved ejection fraction is a heterogeneous syndrome, and comorbid obstructi…
TruaceTracing the truth around AISaturday, September 19, 2026
Subscribe
TRV-2026-1144Version 1 · Certified

Written 2026-09-19 06:54:05 UTC · current record

Reason for this version

Certified into the record

Canonical text (the exact bytes fingerprinted)

TRUVACE RECORD VERSION
record: TRV-2026-1144
version: 1
kind: certified
reason: Certified into the record
timestamp: 2026-09-19T06:54:05.560234Z
status: published
lens: p_space
sector: health
headline: Artificial Intelligence in Extended Reality and Digital Rehabilitation Technologies for Fall Prevention in Older Adults: A Rapid Review of the Evidence
dek: BackgroundFall-related injuries in older adults remain a major health concern, contributing to functional dependence and healthcare losses. Traditional prevention programs, while effective, remain underutilized due to poor adherence and participation. Extended reality (XR) technologies, combined with artificial intelligence (AI), are emerging as promising solutions to mitigate fall-related outcomes.ObjectiveTo evaluate existing literature on extended (XR) and virtual reality (VR) based interventions and the role…
gain_title: (none)
problem_title: Artificial Intelligence in Extended Reality and Digital Rehabilitation Technologies for Fall Prevention in Older Adults: A Rapid Review of the Evidence: BackgroundFall-related injuries in older adults remain a major health concern, contributing to functional dependence and healthcare losses.
trace_subject: (none)
gain_reading: (none)
gain_evidence: (none)
problem_reading: Artificial Intelligence in Extended Reality and Digital Rehabilitation Technologies for Fall Prevention in Older Adults: A Rapid Review of the Evidence: BackgroundFall-related injuries in older adults remain a major health concern, contributing to functional dependence and healthcare losses.
problem_evidence: (none)
quick_read: BackgroundFall-related injuries in older adults remain a major health concern, contributing to functional dependence and healthcare losses. Traditional prevention programs, while effective, remain underutilized due to poor adherence and participation.

Extended reality (XR) technologies, combined with artificial intelligence (AI), are emerging as promising solutions to mitigate fall-related outcomes.ObjectiveTo evaluate existing literature on extended (XR) and virtual reality (VR) based interventions and the role of AI in improving balance, mobility and fall outcomes among older adults.MethodologyA rapid review was conducted using Cochrane Rapid Review methods and conducted in Ovid MEDLINE, Scopus, and IEEE Xplore. Data on study design, participant characteristics, intervention components, outcome measures, and key findings were extracted and synthesized, narratively with attention to AI use within XR interventions.ResultsAfter dual screening, four studies met the inclusion criteria.
limitation: 
tag: Evidence-backed problem
key_points: BackgroundFall-related injuries in older adults remain a major health concern, contributing to functional dependence and healthcare losses. | Traditional prevention programs, while effective, remain underutilized due to poor adherence and participation. | Studies meeting eligibility criteria were screened and extracted using Covidence.
rundown: BackgroundFall-related injuries in older adults remain a major health concern, contributing to functional dependence and healthcare losses. Traditional prevention programs, while effective, remain underutilized due to poor adherence and participation.

Extended reality (XR) technologies, combined with artificial intelligence (AI), are emerging as promising solutions to mitigate fall-related outcomes.ObjectiveTo evaluate existing literature on extended (XR) and virtual reality (VR) based interventions and the role of AI in improving balance, mobility and fall outcomes among older adults.MethodologyA rapid review was conducted using Cochrane Rapid Review methods and conducted in Ovid MEDLINE, Scopus, and IEEE Xplore. Studies meeting eligibility criteria were screened and extracted using Covidence.
sources:
- peer_reviewed | NeuroRehabilitation | https://doi.org/10.1177/10538135261488430 | 2026-09-17
prev: 0000000000000000000000000000000000000000000000000000000000000000
sha256
7d3baebfc92e53d93dc7284eda77194802985b559624f4c7fe1650f4b1fe24c3
previous
0000000000000000000000000000000000000000000000000000000000000000
Verify this record
How to verify without trusting this page

Fetch the canonical text of any version from /api/record/TRV-2026-1144 and hash it yourself — for example shasum -a 256 on the saved canonical field. The result must equal content_hash, and each version’s text ends with prev:followed by the prior version’s hash (version 1 chains to 64 zeros). If a single character of any version had been altered since certification, the chain would not reproduce.