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Distributional Impacts of AI-Enhanced Telerehabilitation on Functional Recovery: A Recentered Influence Function Quantile Regression Decomposition Analysis
2026-02-09
rehabilitation medicine and physical therapy
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BackgroundConventional evaluations of digital health interventions typically assess mean treatment effects, potentially masking heterogeneous impacts across the functional recovery distribution. Patients at the lower and upper tails of recovery trajectories may respond differently to AI-enhanced telerehabilitation, yet standard regression approaches cannot capture these distributional nuances. ObjectiveThis study applied Recentered Influence Function (RIF) quantile regression with Oaxaca-Blinde...
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