This study aims to validate the use of an artificial intelligence-enabled electrocardiogram (AI-ECG) to screen for elevated PAP. We hypothesize that the AI-ECG model can early identify patients with pulmonary hypertension in high-risk patients, prompting further evaluation through echocardiography, potentially resulting in improving cardiovascular outcomes.
Men or women, ≥ 50 to 85 years of age
At least one 12-lead ECG within 3 months
A diagnosis of PH WHO Groups 1, 2, 3, 4, or 5
A diagnosis of hypertrophic cardiomyopathy, restrictive cardiomyopathy, constrictive pericarditis, cardiac amyloidosis, or infiltrative cardiomyopathy
Prior heart, lung, or heart-lung transplants
Any systolic pulmonary artery pressure >50 mmHg by echocardiography before
National Defense Medical Center, Taiwan
Lead sponsor