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A Deep-Learning-Enabled Electrocardiogram for Detecting Pulmonary Hypertension

Study acronym: ADDPH
StatusRecruiting
PhaseNot applicable
Started
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.

Record History

See every version on ClinicalTrials.gov ↗

  1. Start date: Jan 2026 to Feb 2026
    • Eligibility criteria shortened, about 1 word
    v5
  2. Trial status: Not Yet Recruiting to Recruiting
    • Study sites: 0 to 1
    • Start date: Dec 2025 to Jan 2026
    v4
  3. Eligibility criteria revisedv3
  4. Enrollment target: 13796 to 8666
    • Start date: Aug 16, 2025 to Dec 2025
    • Eligibility criteria revised
    v2
  5. Study First Submitted
  • Stopped: an ongoing trial was terminated, suspended or withdrawn.
  • Notable: the trial’s plan changed such as a big move in its timeline or size, a new primary endpoint, sponsor or phase, or recruiting opened or resumed.
  • Minor: routine progress and housekeeping, such as sites added or enrollment closed.
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.
Trial Details
NCT Number NCT07079592
Lead Sponsor National Defense Medical Center, Taiwan
Conditions
(from sponsor)		 Artificial Intelligence (AI), Artificial Intelligence (AI) in Diagnosis, Hypertension, Pulmonary
Related terms Hypertension, Pulmonary
Enrollment 8,666 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov