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Last Posted: Jun 19, 2024

• Machine learning models for assessing risk factors affecting health care costs: 12-month exercise-based cardiac rehabilitation.
  Arto J Hautala et al. Front Public Health 2024 121378349
• MSGene: a multistate model using genetic risk and the electronic health record applied to lifetime risk of coronary artery disease.
  Sarah M Urbut et al. Nat Commun 2024 15(1) 4884
• Enhancing Prediction of Myocardial Recovery After Coronary Revascularization: Integrating Radiomics from Myocardial Contrast Echocardiography with Machine Learning.
  Deyi Huang et al. Int J Gen Med 2024 172539-2555
• Exceptional Genetics, Generalizable Therapeutics, and Coronary Artery Disease
  
• Influence of Polygenic Background on the Clinical Presentation of Familial Hypercholesterolemia.
  Mark Trinder et al. Arterioscler Thromb Vasc Biol 2024
• Development, evaluation and validation of machine learning models to predict hospitalizations of patients with coronary artery disease within the next 12 months.
  Andrey D Ermak et al. Int J Med Inform 2024 188105476
• Algorithm for detection and screening of familial hypercholesterolemia in Lithuanian population.
  Urte Aliosaitiene et al. Lipids Health Dis 2024 23(1) 136
• Enhanced identification of familial hypercholesterolemia using central laboratory algorithms.
  Shirin Ibrahim et al. Atherosclerosis 2024 393117548
• Modification of coronary artery disease clinical risk factors by coronary artery disease polygenic risk score.
  Buu Truong et al. Med 2024
• Development of a Non-Invasive Machine-Learned Point-of-Care Rule-Out Test for Coronary Artery Disease.
  Timothy Burton et al. Diagnostics (Basel) 2024 14(7)
• Genetic testing in cardiovascular disease.
  Michael P Gray et al. Med J Aust 2024
• Integration of a polygenic score into guideline-recommended prediction of cardiovascular disease.
  Ling Li et al. Eur Heart J 2024
• Physical signs and atherosclerotic cardiovascular disease in familial hypercholesterolemia: the HELLAS-FH Registry.
  Loukianos S Rallidis et al. J Cardiovasc Med (Hagerstown) 2024
• Analyzing prehospital delays in recurrent acute ischemic stroke: Insights from interpretable machine learning.
  Youli Jiang et al. Patient Educ Couns 2024 123108228
• Coronary artery disease evaluation during transcatheter aortic valve replacement work-up using photon-counting CT and artificial intelligence.
  Jan M Brendel et al. Diagn Interv Imaging 2024
• International Atherosclerosis Society Roadmap for Familial Hypercholesterolaemia.
  Gerald F Watts et al. Glob Heart 2024 19(1) 12
• Artificial Intelligence in Coronary Artery Calcium Scoring Detection and Quantification.
  Khaled Abdelrahman et al. Diagnostics (Basel) 2024 14(2)
• Dose-Response Associations of Lipid Traits With Coronary Artery Disease and Mortality.
  Guoyi Yang et al. JAMA Netw Open 2024 1 (1) e2352572
• Clinical and genetic diagnosis of familial hypercholesterolaemia in patients undergoing coronary angiography: the Ludwigshafen Risk and Cardiovascular Health Study.
  Stefan Molnar et al. Eur Heart J Qual Care Clin Outcomes 2024
• 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
• Effect of Comorbidities Features in Machine Learning Models for Survival Analysis to Predict Prodromal Alzheimer's Disease.
  Ferial Abuhantash et al. Annu Int Conf IEEE Eng Med Biol Soc 2023 20231-4
• Identification and risk stratification of coronary disease by artificial intelligence-enabled ECG.
  Samir Awasthi et al. EClinicalMedicine 2023 65102259
• Family history, socioeconomic factors, comorbidities, health behaviors, and the risk of sudden cardiac arrest.
  Eujene Jung et al. Sci Rep 2023 13(1) 21341
• Dynamic Importance of Genomic and Clinical Risk for Coronary Artery Disease Over the Life Course.
  Sarah M Urbut et al. medRxiv 2023
• Genetic risk, adherence to healthy lifestyle and acute cardiovascular and thromboembolic complications following SARS-COV-2 infection.
  Junqing Xie et al. Nat Commun 2023 14(1) 4659
• Machine Learning in Cardiovascular Risk Prediction and Precision Preventive Approaches.
  Nitesh Gautam et al. Curr Atheroscler Rep 2023
• Feasibility and limitations of deep learning-based coronary calcium scoring in PET-CT: a comparison with coronary calcium score CT.
  Hee Sang Oh et al. Eur Radiol 2023
• The GenoVA study: Equitable implementation of a pragmatic randomized trial of polygenic-risk scoring in primary care.
  Jason L Vassy et al. Am J Hum Genet 2023 110(11) 1841-1852
• Association Between a First-Degree Family History and Self-Reported Personal History of Obesity, Diabetes, and Heart and Blood Conditions: Results From the All of Us Research Program.
  Danielle Rasooly et al. J Am Heart Assoc 2023 11 e030779
• Ancestry-specific polygenic risk scores are risk enhancers for clinical cardiovascular disease assessments.
  George B Busby et al. Nat Commun 2023 11 (1) 7105

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