AI Insight
Researchers developed an AI model that analyzes 30 years of electronic health records to identify patients at risk for primary aldosteronism, a commonly underdiagnosed condition that causes high blood pressure. The study was presented at ENDO 2026, the Endocrine Society's annual meeting in Chicago. Primary aldosteronism increases cardiovascular complications but often goes unrecognized in clinical practice.
Why it matters
Improved screening for primary aldosteronism could lead to earlier diagnosis and treatment of patients with this treatable form of hypertension, potentially reducing their risk of serious cardiovascular events. The AI model could be integrated into routine clinical care to flag at-risk patients who might otherwise remain undiagnosed.
A study of a new AI model examining 30 years of routine electronic health records (EHR) data could improve screening for primary aldosteronism, a leading cause of high blood pressure that is often unrecognized but increases patients’ risk of cardiovascular complications, according to a study presented at ENDO 2026, the Endocrine Society’s annual meeting in Chicago.
Source: AI model identifies patients at risk of underdiagnosed cause of high blood pressure