An ensemble model combining logistic regression, random forest, gradient boosting, and support vector machine was developed using cross-validated hyperparameter tuning to identify reduced LVEF and was externally validated in an independent prospective cohort from the Medical University of Warsaw.
A 13-indicator routine laboratory model provided moderate discrimination for distinguishing HFrEF from HFmrEF/HFpEF, and should be regarded as an adjunctive triage tool pending external and prospective validation, not as a substitute for echocardiographic phenotyping.
Zhi-Ping Meng, Xue-Zhan Qin, Bin-Bin Liang et al.· Frontiers in Cardiovascular...· 0 citations
Heart failure (HF) affects over 64 million people worldwide and remains a leading cause of cardiovascular mortality. Early identification of patients at risk is essential for timely treatment and to support hospital and primary care physicians. This study compares XGBoost and a Transformer- based bidirectional cross-at...
A. Lutz, F. Hellmann, E. André· medRxiv· 0 citations
This study successfully established a comprehensive prediction model incorporating clinical and imaging variables, which can accurately identify DMD patients at risk for short-term LVEF decline, and demonstrated excellent discrimination.
Xue-Zhen Chen, Ruo-Hao Wu, Fang Zhang et al.· International Journal of Gen...· 0 citations
The AI-ECG model provides noninvasive and accurate long-term risk stratification for TAVR patients, with promising clinical application value for individualized follow-up management.
BACKGROUND
Ablation of frequent premature ventricular complexes (PVCs) can improve left ventricular ejection fraction (LVEF) in patients with systolic dysfunction, especially in suspected PVC-induced cardiomyopathy. However, many patients fail to normalize LVEF despite successful ablation, and current tools do not reli...
A. Saglietto, D. Penela, G. Falasconi et al.· Heart Rhythm· 0 citations
BACKGROUND
Accurate assessment of left ventricular outflow tract (LVOT) gradients is critical for hypertrophic cardiomyopathy management, yet Doppler-based measurements are technically demanding and require expertise. The objective of this work was to develop a multi-view deep learning model capable of classifying LVOT...
O. Crystal, J. Farina, I. Scalia et al.· Circulation Cardiovascular I...· 0 citations
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