The Year in Cardiovascular Medicine 2020: Digital Health and Innovation

Advances in digital health and particularly in artificial intelligence (AI) have led us very close to the true implementation of personalized medicine. The year 2020 has brought an exponential increase of studies using various forms of AI, from supervised machine learning to unsupervised deep learning, with applications across all domains of cardiovascular medicine.
AI is now moving from research to implementation, affecting all aspects of clinical cardiology. The studies bringing AI close to clinical practice span from fast clinical and biochemical data analysis and interpretation of results to image analysis, electrocardiogram (ECG) interpretation, arrhythmia detection, or even the use of face recognition to diagnose cardiovascular diseases. We review some of the most exciting development in the field of AI in cardiology, published from fall of 2019 up until now.
Read the full article on Oxford Academic
Read more

October 2023
Perivascular adipose tissue as a source of therapeutic targets and clinical biomarkers: A clinical consensus statement from the European Society of Cardiology Working Group on Coronary Pathophysiology and Micro-circulation
This clinical consensus statement from the European Society of Cardiology defines perivascular adipose tissue (PVAT) and highlights the biological mechanisms…
Read more

October 2023
SARS-CoV-2 infection triggers pro-atherogenic inflammatory responses in human coronary vessels
Abstract: Patients with coronavirus disease 2019 (COVID-19) present increased risk for ischemic cardiovascular complications up to 1 year after infection. Although…