Skip to main content
OpenTrials
Not Yet Recruiting

NCT Number: NCT07477574

Muscle-Specific Multimodal AI for Sarcopenia Diagnosis

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.

Not Yet Recruiting

Trial opening soon.

Get Notified

Key information

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Adults aged 65 years or older
  • Individuals with reduced muscle function or at risk of sarcopenia
  • Able to participate in rehabilitation training
  • Able to understand the study procedures and provide written informed consent

Exclusion criteria

  • Severe cardiovascular, neurological, or musculoskeletal conditions that limit participation in exercise
  • Severe cognitive impairment
  • Participation in other clinical trials that may influence study outcomes
  • Any medical condition judged by the investigator to make participation unsafe

Treatment and study plan

Rehabilitation Training

Behavioral

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.

Primary outcomes

  1. AI model performance

    Time frame: Baseline to 12 weeks after rehabilitation training

    The performance of the muscle-specific multimodal artificial intelligence (AI) model for detecting sarcopenia will be evaluated using the Area Under the Receiver Operating Characteristic Curve (AUC). The AUC evaluates the ability of the AI model to discriminate between participants with and without sarcopenia(e.g., handgrip strength, gait speed, and appendicular skeletal muscle mass). The AUC value ranges from 0.5 to 1.0, where higher values indicate better discrimination performance of the AI model.

Secondary outcomes

  1. Five-Times Chair Stand Test (5×STS)

    Time frame: Baseline to 12 weeks after rehabilitation training

    Time required to complete the Five-Times Chair Stand Test, which assesses lower extremity muscle strength and functional performance. Participants will be instructed to stand up and sit down five times as quickly as possible with arms folded across the chest. The time required to complete the test will be recorded in seconds.

  2. Gait Speed

    Time frame: Baseline to 12 weeks after rehabilitation training

    Gait speed will be assessed using the 6-meter walk test. Participants will be instructed to walk at their usual pace over a 6-meter distance. Gait speed will be recorded in meters per second (m/s).

  3. Appendicular Skeletal Muscle Mass (DEXA)

    Time frame: Baseline to 12 weeks after rehabilitation training

    Appendicular skeletal muscle mass will be measured using Dual-energy X-ray Absorptiometry (DEXA). Muscle mass will be reported as appendicular lean mass (kg).

  4. Appendicular Skeletal Muscle Mass (BIA)

    Time frame: Baseline to 12 weeks after rehabilitation training

    Appendicular skeletal muscle mass will also be measured using Bioelectrical Impedance Analysis (BIA). Muscle mass will be reported as appendicular skeletal muscle mass (kg).

  5. Sarcopenia Screening

    Time frame: Baseline to 12 weeks after rehabilitation training

    Sarcopenia risk will be assessed using the Strength, Assistance with walking, Rising from a chair, Climbing stairs, and Falls questionnaire (SARC-F).

    Scores range from 0 to 10, with higher scores indicating greater risk of sarcopenia.

  6. Handgrip Strength

    Time frame: Baseline to 12 weeks after rehabilitation training

    Handgrip strength will be measured using a hand-held dynamometer. Maximum grip strength will be recorded in kilograms (kg).

  7. Single Muscle Fiber Contractile Properties

    Time frame: Baseline to 12 weeks after rehabilitation training

    Contractile properties of permeabilized single muscle fibers will be assessed using a single muscle fiber mechanics system (Aurora Scientific, Canada). Measurements will include maximum isometric force (Po, mN), specific force (kN/m²), and rate of force redevelopment (ktr, s-¹) obtained from isolated muscle fibers.

    Higher values of maximum isometric force and specific force indicate greater muscle fiber contractile capacity.

  8. Short Physical Performance Battery (SPPB)

    Time frame: Time Frame: Baseline to 12 weeks after rehabilitation training

    Physical performance will be assessed using the Short Physical Performance Battery (SPPB), which includes balance tests, gait speed, and the chair stand test. Total score ranges from 0 to 12, with higher scores indicating better physical performance.

Sponsors and collaborators

Lead sponsor

Seoul National University Bundang Hospital

Other

Registry information

Official study title

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

Acronym: SARC-AI

Important dates

Study start
2026
Primary completion
2028
Study completion
2028
First posted
Mar 17, 2026
Registry last updated
Mar 17, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

Published trials that share one or more normalized conditions with this study.