AI reads ECGs to catch deadly aortic tear in minutes

NCT ID NCT07536932

Not yet recruiting Diagnosis Sponsor: Shanghai Zhongshan Hospital Source: ClinicalTrials.gov ↗

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.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

Chest Pain

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

AORTIC DISSECTION TYPE A CHEST PAIN

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Other studies related to the condition(s) this trial covers.