This observational study aims to assess the concurrent validity of an artificial intelligence (AI)-based facial paralysis assessment system in patients with unilateral Bell's palsy. Currently, clinical assessment relies on subjective scales like the Sunnybrook Facial Grading System, which can vary between different observers. This study will compare AI-generated composite asymmetry scores-derived from real-time computer vision analysis of facial landmarks-with scores from the Sunnybrook system. The goal is to determine if AI can provide a valid, objective method for monitoring facial nerve recovery.
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Spearman's Rank Correlation Coefficient between AI-derived scores and Sunnybrook Facial Grading System scores.
Timeframe: Baseline (single assessment at the time of enrollment).