Вход на сайт

Просмотр новости

Найдите то, что Вас интересует

Development and Validation of a Machine Learning-Based Model to Predict the Need for Intra-Aortic Balloon Pump Support After Coronary Artery Bypass Grafting in Patients with Heart Failure with Mildly Reduced Ejection Fraction

Дата публикации: 10-08-2026 10:42:51

An article created on 2026-08-10 10:42:51

Схожие новости

#Наименование новостиТональностьИнформативностьДата публикации
1Early and Long-Term Clinical Outcomes of Coronary Artery Bypass Grafting in Patients with Heart Failure and Reduced Ejection Fraction: A Cross-Sectional Study019.6310-08-2026
2Platelet-to-Lymphocyte Ratio-Driven Machine Learning Model for Predicting In-Hospital Major Adverse Cardiovascular Events After Percutaneous Coronary Intervention in Acute Myocardial Infarction: A Retrospective Cohort Study023.3310-08-2026
3Machine learning-based predictive model of postoperative acute heart failure among elderly hip fracture patients02011-08-2026
4The Impact of Ultra-Early Glycaemic Variability on Clinical Outcomes following Cardiac Valve Surgery:A Study Based on the MIMIC-IV Database018.310-08-2026
5DYNAMIC-AF HF Study: An AI-ECG–Based Approach for Dynamic Assessment of Heart Failure Risk and Myocardial Recovery Following Atrial Fibrillation Ablation020.3411-08-2026
6Multicenter Clinical Validation of a Deep Learning Model for Automated Diagnosis and Classification of Aortic Dissection5716-07-2026
7Echocardiographic left ventricular filling pressure (E/e′) and incident acute kidney injury in critically ill adults with preserved ejection fraction01410-08-2026
8Machine Learning-Based Identification of Key Predictors of Estimated Glomerular Filtration Rate in Older Taiwanese Women018.1410-08-2026
9Artificial Intelligence in Robotic-Assisted Surgery: Enhancing Intraoperative Precision and Mitigating Postoperative Complications in a Retrospective Cohort017.7911-08-2026
10Interpretable machine learning analysis of apelin-12 for major adverse cardiovascular events after primary PCI in ST-elevation myocardial infarction018.3310-08-2026

Классификация: Наука. Схожих патентов: 0. Схожих новостей: 10. Тональность: 0. Информативность: 17.17. Источник: www.researchsquare.com.