xAARA fuses 692 multimodal models via Dynamic Bayesian Network with entropy gating to output uncertainty-calibrated ARAT assessments from multi-view video, achieving 94.2% task accuracy and 81.3% phase accuracy on 788 exercises from 105 stroke survivors.
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Enhancing Clinician Decision-Making via Uncertainty-Aware Multi-Expert Fusion for Stroke Rehabilitation
xAARA fuses 692 multimodal models via Dynamic Bayesian Network with entropy gating to output uncertainty-calibrated ARAT assessments from multi-view video, achieving 94.2% task accuracy and 81.3% phase accuracy on 788 exercises from 105 stroke survivors.