Ireland
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Active, not recruiting Observational

Artificial Intelligence-assisted Diagnosis

NCT06783933 · tracked via the Priya Life Science China tracker
Phase
Observational
Started
2025-01-15
Last updated
2025-07-14

Condition(s) studied

Congenital Heart Disease (CHD)Structural Heart Disease

Investigational drug(s) / intervention(s)

surgical or interventional validation

surgical or interventional validation: surgical or interventional validation

Study summary

This study aims to investigate whether an AI-assisted decision support can improve the diagnosis of congenital heart diseases on Chest X-ray.

Eligibility

Sex
ALL
Min age
—
Max age
—
Healthy volunteers
Accepted
Inclusion Criteria: 1. Chest X-ray of patients with ASD; 2. Chest X-ray of patients with VSD; 3. Chest X-ray of patients with PDA; 4. Chest X-ray of patients with PFO; 5. Chest X-ray of patients with PS; 6. Chest X-ray of patients with TOF/PAA; 7. Chest X-ray of patients with MS; 8. Chest X-ray of patients with other heart diseases; Exclusion Criteria: 1. CHD Patients without surgical, interventional validation; 2. Serious Scoliosis; 3. Pulmonary inflammation or consolidation

Primary outcome measure(s)

  • accuracy with AI-assisted diagnosis — 12 months
    Number of subjects with accuracy of CHD ; based on surgical validation or interventional validation.

Trial sites (1)

FacilityCityRegionStatus
Fuwai hospital Beijing Beijing Municipality
Official registry record

This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.

View NCT06783933 on ClinicalTrials.gov ↗ ← All trials in China