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AI reads your Heart's future: new study aims to predict heart attacks from simple ECG

NCT ID NCT07163767

Diagnosis Sponsor: Guangdong Provincial People's 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
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 This study
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This large observational study involving 150,000 people tests whether artificial intelligence can predict new heart attacks by analyzing electrocardiogram (ECG) images. The AI model, called AMIdECG, looks at past ECG data that was considered normal to see if it can forecast a future acute myocardial infarction. The goal is to develop a non-invasive, low-cost screening tool for early heart attack risk detection.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

What this could lead to
If successful, this AI tool could help doctors predict heart attacks earlier using routine ECG tests, potentially saving lives.
What could go wrong
This is an observational study, not a treatment trial. The AI model may not be accurate enough for real-world use, and results need further validation.

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 150,000 people

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

Started

Aug 2025

Expected to finish

Dec 2028

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

In-hospital patients with ECG records

Ages

18 years and older

Sex

Anyone

Healthy volunteers

Accepted

You do not need to have the condition being studied to take part.

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: * Hospitalized in cardiology department with myocardial injury marker testing (troponin T/I). * In-hospital patients with ECG records. Exclusion Criteria: * First ECG obtained in emergency department. * ACS diagnosis within 1 month of first ECG.

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Conditions

The condition(s) this trial relates to.

acute myocardial infarction prevention target

As listed by the trial registrant

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

Acute myocardial infarction (AMI) Artifical intelligence Electrocardiography

Contacts and locations

Locations

  • Guangdong Provincial People's Hospital

    Guangzhou, Guangdong, 510080, China

More trials for these conditions

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