Artificial intelligence has received a tremendous amount of press coverage. In this blog, we discuss deep learning applied to the precise detection of R-peaks. To detect R-peaks in ECG, the focus of classical algorithms has been on sensitivity: the paradigm has been to find all R-peaks and deal with false positive by a post-processing called the decision-making step. Our approach is different and favors precision (or predictive positive value) without pre- or post-processing.

Quantitative MRI (qMRI) is a long innovation in the making, but is finally making its way into cardiac MRI guidelines. In this blog post, Guillaume explains what qMRI is and where the hidden hurdles are. And it is not the first thing one can think of!

For us, signal processing geeks, artifacts are not antique objects made by human beings from a forgotten culture. They are present in MRI and ECG traces, and seem to multiply as the MRI magnetic field strength increases. 7T MRI, the Formula 1 of MRIs, is not immune to this issue.

Many of us have lost someone we love as a result of a heart attack. Contrary to popular belief, it is a disease that affects women as much as men. One woman out of 3 dies of cardiovascular disease, half of which are heart attacks. In addition to this, there is a data gender gap which negatively affects women. Only a minority of women are enrolled in cardiovascular clinical studies. Epsidy's mission is to empower clinical science to fight this silent epidemic.