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Last Posted: Jun 20, 2024

• CYP2C19 Genotype Is Associated With Adverse Cardiovascular Outcomes in Black Patients Treated With Clopidogrel Undergoing Percutaneous Coronary Intervention.
  Kayla R Tunehag et al. J Am Heart Assoc 2024 e033791
• Development and validation of a machine learning-based readmission risk prediction model for non-ST elevation myocardial infarction patients after percutaneous coronary intervention.
  Yanxu Liu et al. Sci Rep 2024 14(1) 13393
• Machine learning predictions of the adverse events of different treatments in patients with ischemic left ventricular systolic dysfunction.
  Wenjie Chen et al. Intern Emerg Med 2024
• Machine learning prediction of one-year mortality after percutaneous coronary intervention in acute coronary syndrome patients.
  Kaveh Hosseini et al. Int J Cardiol 2024 409132191
• Cardiovascular outcomes in patients with homozygous familial hypercholesterolaemia on lipoprotein apheresis initiated during childhood: long-term follow-up of an international cohort from two registries.
  M Doortje Reijman et al. Lancet Child Adolesc Health 2024
• The use of artificial intelligence for predicting postinfarction myocardial viability in echocardiographic images.
  Blazej Michalski et al. Cardiol J 2024
• 1-Year Mortality Prediction through Artificial Intelligence Using Hemodynamic Trace Analysis among Patients with ST Elevation Myocardial Infarction.
  Seyed Reza Razavi et al. Medicina (Kaunas) 2024 60(4)
• Using the Super Learner algorithm to predict risk of major adverse cardiovascular events after percutaneous coronary intervention in patients with myocardial infarction.
  Xiang Zhu et al. BMC Med Res Methodol 2024 24(1) 59
• Predictive modeling for acute kidney injury after percutaneous coronary intervention in patients with acute coronary syndrome: a machine learning approach.
  Amir Hossein Behnoush et al. Eur J Med Res 2024 29(1) 76
• Machine Learning for Early Prediction of Major Adverse Cardiovascular Events After First Percutaneous Coronary Intervention in Patients With Acute Myocardial Infarction: Retrospective Cohort Study.
  Pin Zhang et al. JMIR Form Res 2024 8e48487
• Implementing a Pharmacogenomic-driven Algorithm to Guide Antiplatelet Therapy among Caribbean Hispanics: A non-randomized prospective cohort study.
  Héctor Nuñez-Medina et al. medRxiv 2023
• Machine learning for predicting intrahospital mortality in ST-elevation myocardial infarction patients with type 2 diabetes mellitus.
  Panke Chen et al. BMC Cardiovasc Disord 2023 23(1) 585
• Comparison of machine-learning models for the prediction of 1-year adverse outcomes of patients undergoing primary percutaneous coronary intervention for acute ST-elevation myocardial infarction.
  Saeed Tofighi et al. Clin Cardiol 2023
• Explainable SHAP-XGBoost models for in-hospital mortality after myocardial infarction.
  Constantine Tarabanis et al. Cardiovasc Digit Health J 2023 4(4) 126-132
• Using Artificial Intelligence in Predicting Ischemic Stroke Events After Percutaneous Coronary Intervention.
  Chieh-Ju Chao et al. J Invasive Cardiol 2023 35(6) E297-E311
• Can machine learning unravel unsuspected, clinically important factors predictive of long-term mortality in complex coronary artery disease? A call for 'big data'.
  Kai Ninomiya et al. Eur Heart J Digit Health 2023 4(3) 275-278
• Diagnostic Performance of Machine Learning-Derived Radiomics Signature of Pericoronary Adipose Tissue in Coronary Computed Tomography Angiography for Coronary Artery In-Stent Restenosis.
  Keyi Cui et al. Acad Radiol 2023
• Data Modeling Using Vital Sign Dynamics for In-hospital Mortality Classification in Patients with Acute Coronary Syndrome.
  Sarawuth Limprasert et al. Healthc Inform Res 2023 29(2) 120-131
• Genetic Testing Enables the Diagnosis of Familial Hypercholesterolemia Underdiagnosed by Clinical Criteria: Analysis of Japanese Early-Onset Coronary Artery Disease Patients.
  Hiroshi Miyama et al. Cardiol Res Pract 2023 20232236422
• Machine Learning Identifies New Predictors on Restenosis Risk after Coronary Artery Stenting in 10,004 Patients with Surveillance Angiography.
  Ulrich Güldener et al. J Clin Med 2023 12(8)

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