− 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-2026-1144Certified recordPeer-reviewed

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. 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…

Health · P Space — documented harm · certified 2026-09-19 · v1 · article view · machine-readable

Current reading — problem

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.

Evidence

Reader signal

How should this claim be treated?

Cite this record

Truvace Impact Record TRV-2026-1144, v1: “Artificial Intelligence in Extended Reality and Digital Rehabilitation Technologies for Fall Prevention in Older Adults: A Rapid Review of the Evidence.” Truvace, 2026-09-19. /record/TRV-2026-1144 (accessed at citation time). sha256 7d3baebfc92e53d9…

Calibration history

Every change to this record since certification, in the open. None yet — the reading has held since it entered the record.

  1. Certifiedv17d3baebfc92e…

    Certified into the record

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.