Muscle ultrasonography texture in young, middle-aged, and older people and its association with functional performance: A machine learning-based study.
Abstract
Skeletal muscle deterioration accelerates with age, leading to muscle atrophy and dysfunction. Musculoskeletal ultrasound as a nonradiative, inexpensive, and portable tool, has potential to evaluate age-related muscle changes. This study aims to detect age-related muscle features based on muscle texture analysis and machine learning approach, and to investigate muscle features that are related to function.
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Research summary
The study claims that muscle texture analysis using machine learning can identify age-related muscle features associated with functional performance. This research is relevant as it addresses the physiological changes associated with aging and seeks to understand and potentially mitigate the impacts of muscle deterioration on functional abilities, which is a key aspect of longevity research.
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