AI Flags High Blood Pressure Underdiagnosis Risk
Researchers have developed an AI model using 30 years of electronic health records to better identify primary aldosteronism, a common but underdiagnosed cause of high blood pressure. Early detection through this tool could significantly reduce the risk of cardiovascular complications like stroke and heart failure.
Why it matters
Improving diagnostic accuracy for hypertension-related conditions can lead to better patient outcomes and lower healthcare costs.
Chicago - 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 being presented Saturday at ENDO 2026, the Endocrine Society's annual meeting in Chicago, Ill.
The report is based on scientific research findings presented at a medical conference.
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