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Study identifier: NCT07079592 Synced from ClinicalTrials.gov · July 28, 2026
● Recruiting

A Deep-Learning-Enabled Electrocardiogram for Detecting Pulmonary Hypertension

Condition: Artificial Intelligence (AI) · Artificial Intelligence (AI) in Diagnosis · Hypertension, Pulmonary  ·  Sponsor: National Defense Medical Center, Taiwan

PhaseNA
Planned participants8666
Who can joinAll sexes, 50 Years to 85 Years
Healthy volunteersNo

About this study

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.

This description comes directly from the study's public registry record.

Talk to the study team

Chin Lin, Associate Professor  ·  886+2-87923311  ·  up6fup0629@gmail.com

Always discuss trial participation with your own doctor first.

Locations (1)

National Defense Medical CenterTaipei, TaiwanRecruiting

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Source record: clinicaltrials.gov/study/NCT07079592