Department of Emergency Medicine, National Taiwan University Hospital
Taipei, 100, Taiwan
NCT Number: NCT07034170
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.
Interested in participating?
Request Info18 year–99 year
All sexes
Interventional
Not applicable
Taipei, 100, Taiwan
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
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.
Time frame: 21 days
Muscle changes were measured weekly using a handheld ultrasound.
National Taiwan University Hospital
Other
Comprehensive Interpretation of the Importance of Skeletal Muscle Mass on Prognosis and Recovery in Cardiac Arrest Survivors: From Machine Learning to Clinical Trial
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