Therefore, accurate risk stratification after STEMI remains clinically important.
Cardiac MRI provides detailed information of cardiac function and myocardial tissue injury, including impact size, microvascular obstruction, intramyocardial hemorrhage, and T1 mapping parameters.
This study addressed the key question of whether combining these cardiac MRI features with clinical variables could improve long-term prognostic assessment using machine learning.
Therefore, accurate risk stratification after STEMI remains clinically important.
Cardiac MRI provides detailed information of cardiac function and myocardial tissue injury, including impact size, microvascular obstruction, intramyocardial hemorrhage, and T1 mapping parameters.
This study addressed the key question of whether combining these cardiac MRI features with clinical variables could improve long-term prognostic assessment using machine learning.
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