AI Tool Flags Underdiagnosed Causes of Hypertension

Researchers presented a new artificial intelligence model at the ENDO 2026 conference to improve the detection of high blood pressure causes ^[1]. The tool analyzes 30 years of electronic health records to identify patients at high risk for primary aldosteronism ^[1]. This condition is a major but frequently unrecognized driver of hypertension ^[1].

Primary aldosteronism occurs when the adrenal glands produce an excess of the hormone aldosterone ^[1]. While the condition is treatable, it often goes undiagnosed in standard clinical settings ^[1]. By scanning decades of historical data, the AI identifies patterns that human clinicians might overlook ^[1].

The Endocrine Society noted that this automation could help doctors intervene earlier ^[1]. Improved screening for this hormonal imbalance may reduce long-term cardiovascular risks for many patients ^[1]. Details of the study highlight the growing role of machine learning in processing massive medical datasets ^[1].