Women have long been inadequately represented in cardiovascular medicine, as conventional risk evaluations fail to account for significant differences between the sexes. A team of researchers developed an AI-enhanced electrocardiography (AI-ECG) model to detect nuanced sex-specific cardiovascular risks. By analyzing patterns in over a million ECGs, the model introduces a novel biomarker, the “sex discordance score,” which highlights elevated risks of heart disease and related conditions in women. This study, published in The Lancet Digital Health, could pave the way for more precise and proactive care tailored to women’s unique cardiovascular needs.
It’s not all binary
Historically, women have been underdiagnosed and underserved in preventive care due…