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Last Posted: Sep 18, 2023

• A Systematic Review: Do the Use of Machine Learning, Deep Learning, and Artificial Intelligence Improve Patient Outcomes in Acute Myocardial Ischemia Compared to Clinician-Only Approaches?
  Binay K Panjiyar et al. Cureus 2023 15(8) e43003
• A deep learning-based electrocardiogram risk score for long term cardiovascular death and disease
  JW Hughes et al, NPJ Digital Medicine, September 12, 2023
• Return-to-Play for Elite Athletes With Genetic Heart Diseases Predisposing to Sudden Cardiac Death.
  Katherine A Martinez et al. J Am Coll Cardiol 2023 82(8) 661-670
• Cardiac Failure Forecasting Based on Clinical Data Using a Lightweight Machine Learning Metamodel.
  Istiak Mahmud et al. Diagnostics (Basel) 2023 13(15)
• Detection of Cardiovascular Disease from Clinical Parameters Using a One-Dimensional Convolutional Neural Network.
  Mohammad Mahbubur Rahman Khan Mamun et al. Bioengineering (Basel) 2023 10(7)
• Health status and comorbidities of adult patients with phenylketonuria (PKU) in France with a focus on early-diagnosed patients - A nationwide study of health insurance claims data.
  Sybil Charrière et al. Mol Genet Metab 2023 139(3) 107625
• Revolution of echocardiographic reporting: the new era of artificial intelligence and natural language processing.
  Kenya Kusunose et al. J Echocardiogr 2023
• Sudden cardiac death in the young: A qualitative study of experiences of family members with cardiogenetic evaluation.
  Lieke van den Heuvel et al. J Genet Couns 2023
• Performance Evaluation of Quantum-Based Machine Learning Algorithms for Cardiac Arrhythmia Classification.
  Zeynep Ozpolat et al. Diagnostics (Basel, Switzerland) 2023 13(6)
• Preterm birth and maternal heart disease: A machine learning analysis using the Korean national health insurance database.
  Jue Seong Lee et al. PloS one 2023 18(3) e0283959

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