A Deep-Learning-Enabled Electrocardiogram for Detecting Pulmonary Hypertension

Launched by NATIONAL DEFENSE MEDICAL CENTER, TAIWAN · Jul 14, 2025

Keywords

ClinConnect Summary

This clinical trial is testing a new way to help find pulmonary hypertension, a condition where the blood pressure in the lungs' arteries is too high. The study uses a special computer program, called artificial intelligence (AI), to analyze a common heart test called an electrocardiogram (ECG). The goal is to see if this AI-ECG can spot early signs of pulmonary hypertension in people who might be at risk, so doctors can do further tests and provide treatment sooner.

To take part, you need to be between 50 and 85 years old and have had a standard 12-lead ECG test within the past year. People who already have certain heart or lung conditions, or who have had specific heart or lung surgeries, are not eligible. If you join the study, your existing ECG will be analyzed using the AI tool to help identify any early signs of pulmonary hypertension. This study is not yet recruiting participants, but it aims to make screening easier and faster, potentially improving heart and lung health for those at risk.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • Men or women, ≥ 50 to 85 years of age
• • At least one 12-lead ECG within 12 months
• Exclusion Criteria:
• • 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
• • No echocardiography in 12 months before index ECG