The recognition and classification of facial expressions using artificial intelligence (AI) presents a promising avenue for early detection and monitoring ofneurodegenerative disorders. This narrative review critically examines the current state of AI-driven facial expression analysis in the context of neurodegenerative diseases, such as Alzheimer's and Parkinson's. We discuss thepotential of AI techniques, including deep learning andcomputer vision, to accurately interpret and categorize subtle changes in facial expressions associated with thesepathological conditions. Furthermore, we explore theroleof facial expression recognition as a noninvasive, cost-effective tool for screening, disease progression tracking, and personalized intervention in neurodegenerative disorders. The review also addresses the challenges, ethical considerations, and future prospects of integrating AI-based facial expression analysis into clinical practice forearly intervention and improved quality of life for individuals at risk ofor affected by neurodegenerative diseases.
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