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Skeletal Muscle Mass on Prognosis and Recovery in Clinical Trial
Sponsor: National Taiwan University Hospital
Summary
The objective of this research project is to develop an automated muscle mass measurement system based on computed tomography (CT) images using deep learning and artificial intelligence, and to construct a prognostic prediction model for patients who have experienced cardiac arrest and undergone resuscitation. The model will be validated using multicenter registry data and medical imaging. Furthermore, a clinical trial involving core muscle rehabilitation for post-resuscitation patients will be conducted to evaluate both short-term and long-term outcomes, aiming to comprehensively understand the impact of muscle mass on the prognosis of patients after cardiac arrest.
Official title: Comprehensive Interpretation of the Importance of Skeletal Muscle Mass on Prognosis and Recovery in Cardiac Arrest Survivors: From Machine Learning to Clinical Trial
Key Details
Gender
All
Age Range
18 Years - 99 Years
Study Type
INTERVENTIONAL
Enrollment
90
Start Date
2025-06-01
Completion Date
2028-12-31
Last Updated
2025-06-24
Healthy Volunteers
No
Interventions
Enhanced Rehabilitation Program
Participants in the intervention group receive an enhanced rehabilitation program, including muscular electrical stimulation, guided active rehabilitation sessions, and structured physical engagement during periods of consciousness. The intervention is designed to promote functional improvement in post-cardiac arrest patients.
Locations (1)
Department of Emergency Medicine, National Taiwan University Hospital
Taipei, Taiwan