ML Algorithms – Better Risk-Predictors of CVD!

A recent study presented at EuroEcho 2021 of the European Society of Cardiology has reported an artificial intelligence-based algorithm as a better predictor of mortality in high-risk cardiovascular disease (CVD) patients. The rationale of conducting this study was to compare prediction capabilities between advanced machine-learning (ML) algorithms and established manual scoring systems for 10-year, all-cause mortality in patients with suspected or known CVD. Figure 1 depicts the conceptualization of this study and Table 1 compares the prediction accuracy of artificial intelligence (AI) algorithms versus established scores. Figure 1.

Study design and conduct. *High risk was defined as the presence of at least 2 out of the 4 conditions - hypertension, diabetes, dyslipidemia, and current smoking. *Stress CMR – Stress cardiovascular magnetic resonance, where a drug is administered to…