AI-Enabled Wearables Advance Parkinson Rehabilitation Assessment
A scoping review (search to December 2025) in J Med Internet Res synthesizes 66 studies involving about 3,579 Parkinson disease patients on AI-enabled wearable devices for rehabilitation and motor assessment. Studies primarily used multisensor modules, smart insoles, and wrist devices with accelerometers, reported passive short-term lab or clinical data collection, and showed limited external validation and heterogeneous performance metrics. Findings highlight translational gaps and nurse-focused workflow integration needs.
Key Points
- 1Identify 66 studies covering ~3,579 PD patients, mainly multisensor, insoles, wrist devices
- 2Show limited external validation and heterogeneous metrics, impeding generalizability and clinical trust
- 3Suggest nurse-led translation focus on workflow integration, decision-support, longitudinal home-based monitoring
Scoring Rationale
Strong synthesis and nursing-oriented recommendations, supported by 66 studies; limited by methodological heterogeneity and scarce external validation.
Sources
Public references used for this report.
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