NCT07477574

Muscle-Specific Multimodal AI for Sarcopenia Diagnosis

Development of Muscle-specific Multi-modal AI for Sarcopenia Diagnosis: Effects of Rehabilitation Training on Ant-muscle Aging

• Status: Not Yet Recruiting
• Phase: N/A
• Study type: Interventional
• Enrollment: 75 (estimated)
• Sponsor: Seoul National University Bundang Hospital · Academic / Other
• Sex: All
• Age: 65 Years – 85 Years
• Healthy volunteers: Accepted

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.

Conditions

• Sarcopenia

Interventions

Type	Name	Description
BEHAVIORAL	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.

Timeline

• Start date: 2026-03-01
• Primary completion: 2028-02-28
• Completion: 2028-02-28
• First posted: 2026-03-17
• Last updated: 2026-03-17