AIBullisharXiv – CS AI · 5h ago6/10
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Enhancing Clinician Decision-Making via Uncertainty-Aware Multi-Expert Fusion for Stroke Rehabilitation
Researchers present xAARA, an AI system that enhances stroke rehabilitation assessment by analyzing multi-view video to provide ARAT scores with calibrated uncertainty and clinical explanations. The system achieved 94.2% task accuracy while reducing predictive uncertainty by 96.1% compared to single clinicians, with four independent clinicians validating its potential for clinical deployment.