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Muscle-Specific Multimodal AI for Sarcopenia Diagnosis
Sponsor: Seoul National University Bundang Hospital
Summary
This study aims to develop a muscle-specific multimodal artificial intelligence (AI) model for the diagnosis of sarcopenia and to investigate the effects of rehabilitation training on muscle aging. Clinical, functional, and imaging data will be collected from participants with muscle function decline. Multimodal data, including muscle function measurements and clinical assessments, will be integrated to develop and validate an AI-based diagnostic model for sarcopenia. In addition, the effects of rehabilitation training on muscle function and muscle aging-related outcomes will be evaluated. The results of this study are expected to contribute to the development of digital biomarkers and precision rehabilitation strategies for sarcopenia.
Official title: Development of Muscle-specific Multi-modal AI for Sarcopenia Diagnosis: Effects of Rehabilitation Training on Ant-muscle Aging
Key Details
Gender
All
Age Range
65 Years - 85 Years
Study Type
INTERVENTIONAL
Enrollment
75
Start Date
2026-03-01
Completion Date
2028-02-28
Last Updated
2026-03-17
Healthy Volunteers
Yes
Conditions
Interventions
Rehabilitation training
Participants will perform a structured rehabilitation training program designed to improve muscle strength, physical performance, and muscle function. Clinical assessments and muscle function measurements will be collected before and after the rehabilitation program to evaluate the effects of training and to support the development of a muscle-specific multimodal AI model for sarcopenia diagnosis.