Publications by authors named "Kangshuo Li"
Article Synopsis
- - This study explores using machine learning (ML) to estimate infarct size (IS) in STEMI patients as a more affordable alternative to the expensive cardiac magnetic resonance imaging (CMR) method.
- - Researchers analyzed data from 315 patients and employed various ML algorithms, discovering that random forest (RF) outperformed linear regression (LR) in predicting IS, indicating ML's potential for more accurate assessments.
- - The study concluded that ML-derived IS is significantly associated with adverse remodeling in the heart, suggesting that ML methods could serve as a reliable tool for evaluating IS during the acute phase of a heart attack.
