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Last Posted: Jun 09, 2023

• Evaluating the clinical effectiveness of the NHS Health Check programme: a prospective analysis in the Genetics and Vascular Health Check (GENVASC) study.
  Radoslaw Debiec et al. BMJ Open 2023 13(5) e068025
• Lipoprotein Apheresis: Current Recommendations for Treating Familial Hypercholesterolemia and Elevated Lipoprotein(a).
  Maya S Safarova et al. Curr Atheroscler Rep 2023
• Long-term effects of volanesorsen on triglycerides and pancreatitis in patients with familial chylomicronaemia syndrome (FCS) in the UK Early Access to Medicines Scheme (EAMS).
  Alan Jones et al. Atherosclerosis 2023 37567-74
• A novel breakthrough in wrist-worn transdermal troponin-I-sensor assessment for acute myocardial infarction.
  Shantanu Sengupta et al. Eur Heart J Digit Health 2023 4(3) 145-154
• 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
• Deep learning approach for analyzing chest x-rays to predict cardiac events in heart failure.
  Kenya Kusunose et al. Front Cardiovasc Med 2023 101081628
• 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
• Use of machine learning algorithms to predict life-threatening ventricular arrhythmia in sepsis.
  Le Li et al. Eur Heart J Digit Health 2023 4(3) 245-253
• Machine learning framework for atherosclerotic cardiovascular disease risk assessment.
  Parya Esmaeili et al. J Diabetes Metab Disord 2023 22(1) 423-430
• Social bias in artificial intelligence algorithms designed to improve cardiovascular risk assessment relative to the Framingham Risk Score: a protocol for a systematic review.
  Ivneet Garcha et al. BMJ Open 2023 13(5) e067638

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