Clinical Trial

A Deep-Learning-Enabled Electrocardiogram for Detecting Pulmonary Hypertension

Study acronym: ADDPH
Recruiting
View on ClinicalTrials.gov →
Record status
This record was last updated February 24, 2026 (before its estimated June 15, 2026 completion). Its status may not reflect the trial's current state.
Summary
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.
Protocol Amendment History 4 amendments
This ClinicalTrials.gov record has been amended 4 times since 2025-07-14; most recent amendment 2026-02-23.
Status change: Not Yet Recruiting → Recruiting 2026-01-19
Trial Details
NCT Number NCT07079592
Lead Sponsor National Defense Medical Center, Taiwan
Conditions Artificial Intelligence (AI), Artificial Intelligence (AI) in Diagnosis, Hypertension, Pulmonary
Enrollment 8,666 participants
Start Date 2026-02
Primary Completion 2026-06-15 (estimated)
Study Completion 2026-06-15 (estimated)
Updated on ClinicalTrials.gov 2026-02-24