ESC TV Today – Your Cardiovascular News

Season 3 - Ep.19: Big data in cardiology - Measuring lipids: what clinicians need to know

6 snips
Jul 3, 2025
Carlos Aguiar, a notable cardiologist, dives into the transformative influence of big data in cardiology. He discusses the integration of AI in echocardiography and the potential survival benefits of surgical interventions for atrial fibrillation. Aguiar highlights the significant biases surrounding lipid measurements and the importance of inclusive data collection. The conversation also touches on the cardiovascular risks associated with cannabis use and advances in cardiac imaging, particularly the role of lipoprotein(a) as a genetic risk factor.
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INSIGHT

Big Data's Holistic Cardiac Potential

  • Big data integrates diverse clinical, imaging, genomics, and wearable data for a holistic cardiovascular patient view.
  • Challenges include noise, heterogeneity, and biases especially in patient data representation.
ADVICE

Address Bias in Cardiovascular AI

  • Collect inclusive datasets to address biases in AI tools, especially regarding sex, socioeconomic, and education disparities.
  • Promote policies and incentives to ensure AI reflects all patient subgroups fairly.
INSIGHT

Fasting Lipid Tests Context

  • Non-fasting lipid tests are adequate for most patients with minimal differences compared to fasting tests.
  • Fasting is recommended for specific groups like those with diabetes, obesity, or high triglycerides for accuracy.
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