The integration of artificial intelligence (AI) into cardiovascular diagnostics, particularly through electrocardiogram (ECG) analysis, represents one of the most promising frontiers in contemporary cardiology. As articulated in the review article “Artificial Intelligence and the Electrocardiogram: A Modern Renaissance” by Palermi et al., published in the European Journal of Internal Medicine, AI-driven models have demonstrated considerable diagnostic accuracy with possible favourable consequences in our ability to uncovering subclinical diseases [1].
