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.
Study Type
INTERVENTIONAL
Allocation
NON_RANDOMIZED
Purpose
SUPPORTIVE_CARE
Masking
SINGLE
Enrollment
90
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.
Department of Emergency Medicine, National Taiwan University Hospital
Taipei, Taiwan
skeletal muscle mass
Time frame: 21 days
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