Muscle-Specific Multimodal AI for Sarcopenia Diagnosis
ConditionSarcopenia
Trial statusNot yet recruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age65-85
SponsorSeoul National University Bundang Hospital
About this trial
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.
Eligibility criteria
This trial accepts healthy volunteersQualifiers
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
Disqualifiers
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
Trial design
Design model
Single group
Treatments tested in this trial
Rehabilitation training
BehavioralParticipants 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.
Treatment groups
75 Participants
are divided into 1 treatment groupGroup A: Rehabilitation TrainingExperimental treatment 1 intervention
Trial outcomes
Primary outcomes
1
AI model performance
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.
Time frame
Baseline to 12 weeks after rehabilitation trainingSecondary outcomes
1
Five-Times Chair Stand Test (5×STS)
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.
Time frame
Baseline to 12 weeks after rehabilitation training2
Gait Speed
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).
Time frame
Baseline to 12 weeks after rehabilitation training3
Appendicular Skeletal Muscle Mass (DEXA)
Appendicular skeletal muscle mass will be measured using Dual-energy X-ray Absorptiometry (DEXA). Muscle mass will be reported as appendicular lean mass (kg).
Time frame
Baseline to 12 weeks after rehabilitation training4
Appendicular Skeletal Muscle Mass (BIA)
Appendicular skeletal muscle mass will also be measured using Bioelectrical Impedance Analysis (BIA). Muscle mass will be reported as appendicular skeletal muscle mass (kg).
Time frame
Baseline to 12 weeks after rehabilitation trainingLocations
Sponsors and contacts
Click on the lead sponsor to view all of their trials.
Source ClinicalTrials.gov
This trial is not recruiting at the moment. You can still explore other options: