Skeletal Muscle Mass on Prognosis and Recovery in Clinical Trial

Enrolling by invitation · Not applicable

Conditions studied: Out of Hospital Cardiac Arrest, Inhospital Cardiac Arrest

In brief

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.

Key facts

Study ID
NCT07034170
Run by
National Taiwan University Hospital
People needed
90
Starts
2025-06-01
Expected to finish
2028-12-31
Last updated by the study team
2026-07-20

Who can join

Age: 18 and older, up to 99. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

You may not qualify if…

Where it is running

Full record on ClinicalTrials.gov

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