AI reads ECGs to catch deadly aortic tear in minutes
NCT ID NCT07536932
First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study will enroll 10,000 adults with chest pain at five hospitals to see if an artificial intelligence model can detect acute type A aortic dissection from a standard ECG. The AI's predictions will be compared to the gold-standard CT scan. If accurate, this could give doctors a fast, non-invasive way to diagnose this life-threatening condition in the emergency room.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
Active substance
Artificial intelligence model analyzing electrocardiograms (ECGs)
What this could lead to
If successful, this AI tool could help emergency doctors rapidly identify aortic dissection from a simple ECG, potentially saving lives by speeding up diagnosis and treatment.
What could go wrong
This is an early-stage observational study, not a treatment trial. The AI model may not perform accurately across all hospitals or patient groups, and it is not yet ready for widespread use.
Disclaimer
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This is a summary of
the original study
.
Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.