Background: Facial palsy (FP) is a widespread condition affecting over 3 million people annually, with a complex etiology requiring tailored, multidisciplinary management. Despite advancements, there remains a lack of reliable, automated tools for objective pre- and postoperative assessment, limiting progress in treatment optimization. This study introduces the AI Research Metrics Model (CAARISMA ® ARMM) to evaluate FP severity and outcomes following microsurgical gracilis muscle transfer.
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