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Evaluation of Facial Movements in People with ALS from Videos using Artificial Intelligence
What is it about?
Face movements can be indicators of disease severity in ALS. Clinical evaluation of facial movements is time-consuming and requires expertise. This work explores the use of AI to automatically evaluate facial movements from videos and predict disease severity in people with ALS.
Why is it important?
Results from this paper demonstrated that motor function assessments obtained from videos using AI methods agree with clinician scores. Our findings indicate that AI systems for video analysis have the potential to transform the assessment of movement disabilities in ALS and other neurodegenerative diseases. These systems could support clinical disease management by providing fast and accurate methods to assess patients even from their homes.