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AI reads ECGs to catch deadly aortic tear in minutes

NCT ID NCT07536932

Diagnosis Sponsor: Shanghai Zhongshan Hospital Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting This study
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

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.

Study facts

What this study's own registry entry says, in plain language.

Participants

About 10,000 people

The number the study aims to enrol. It can still change while the study runs.

Expected to start

Apr 2026

An estimate. Start dates often move.

Expected to finish

Dec 2026

An estimate. End dates often move.

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

Adult male and female emergency department patients aged 18 to 80 years who present with clear chest pain or related chest/back pain symptoms at five tertiary hospitals, undergo standard 12-lead electrocardiography within 24 hours of symptom onset, and subsequently receive definitive diagnostic evaluation confirming acute type A aortic dissection or another final diagnosis.

Ages

18 to 80 years

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: * Male or female emergency department patients aged 18-80 years; * Clear presentation of chest pain or related chest/back pain; * Completion of standard 12-lead electrocardiography (ECG) within 24 hours after onset of chest pain; * ECG signal quality meeting the following criteria: QRS amplitude ≥ 0.1 mV and noise proportion \< 20%; * Availability of subsequent diagnostic workup confirming whether the patient had acute type A aortic dissection (TAAD) or another definitive diagnosis. Exclusion Criteria: * Poor-quality ECG recordings, defined as missing leads in ≥ 3 leads or severe baseline instability; * Indeterminate final diagnosis; * History of prior surgery involving the aortic valve, aortic root, or ascending aorta.

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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

How to take part

Only the study team decides who joins. These are the ways to reach them.

  1. The official record

    The full official record for this study. This one lists no contact details, but it is the first place any would appear.

    Open the record ↗

  2. A doctor treating you

    A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.

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