Mayo Clinic researchers reported an AI-driven screening model designed to detect primary aldosteronism (PA), a frequently underdiagnosed cause of hypertension that can drive cardiovascular disease. The report describes model development and performance screening across decades of clinical data, positioning the tool as a practical way to find PA earlier. Primary aldosteronism occurs when aldosterone secretion is elevated due to adrenal causes, and it can be missed when clinicians rely on conventional hypertension workups. The AI approach is framed as a way to identify candidates for confirmatory testing rather than replacing standard care. If validated in broader settings, the model would fit into a growing clinical push toward earlier biomarker-based diagnosis and targeted endocrine intervention guided by machine learning.