AI-ECG Observational Study for Acute Aortic Dissection
Summary
NIH registered a prospective multicenter observational study (NCT07536932) evaluating an AI-ECG model for diagnosing acute type A aortic dissection in emergency department patients with chest pain. The study will enroll adults at five tertiary hospitals and compare AI model predictions against CTA-confirmed diagnoses. Clinical and ECG data will be collected as part of standard care to assess diagnostic performance across centers.
What changed
NIH registered a new prospective multicenter observational study (NCT07536932) titled 'Triage and Recognition of Acute Aortic Dissection in Chest Pain by Electrocardiogram-Artificial Intelligence' on ClinicalTrials.gov. The study aims to evaluate whether an AI-ECG model can accurately distinguish acute type A aortic dissection from other causes of chest pain in real-world emergency settings.
For healthcare providers and clinical researchers, this registry entry indicates planned data collection at five tertiary hospitals involving routine ECG testing and CTA confirmation for diagnostic comparison. The study's results may inform future AI-assisted diagnostic tools in emergency cardiac care, though this registration itself creates no compliance obligations.
Archived snapshot
Apr 18, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
Triage and Recognition of Acute Aortic Dissection in Chest Pain by Electrocardiogram-Artificial Intelligence
Observational NCT07536932 Kind: OBSERVATIONAL Apr 17, 2026
Abstract
The goal of this prospective multicenter observational study is to learn whether an artificial intelligence model based on electrocardiograms (ECGs) can help diagnose acute type A aortic dissection (TAAD) in adults who come to the emergency department with chest pain or related symptoms. The main question it aims to answer is:
Can the AI-ECG model accurately distinguish TAAD from other causes of chest pain in a real-world emergency setting? Researchers will compare the AI model's ECG-based predictions with the final diagnosis confirmed by computed tomographic angiography (CTA), which is the reference standard. Participants will undergo routine emergency ECG testing and subsequent diagnostic evaluation as part of standard care. Clinical and ECG data will be collected from five tertiary hospitals, and the model's diagnostic performance will be assessed across centers.
Conditions: Aortic Dissection Type A, Chest Pain
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