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AI on a simple ECG: a new way to gauge heart attack severity?

NCT ID NCT07751809

Diagnosis Sponsor: Yonsei University 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
Running, but no longer taking on new participants.
Completed This study
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Aug 07, 2026 · Last updated Aug 07, 2026

Summary

This study tests whether artificial intelligence can read a standard ECG to predict how much heart muscle is damaged after a heart attack. Researchers will compare AI-ECG results with MRI images, the current gold standard, in 461 patients who had a heart attack and underwent a procedure to open blocked arteries. The goal is to see if the AI can identify large areas of damage, poor pumping function, or blocked microvessels, potentially offering a faster and more accessible assessment.

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-enhanced electrocardiography (AI-ECG) algorithms (AiTiA LVSD and AiTiA MI)
What this could lead to
If successful, this could lead to a quick, widely available ECG-based tool to assess heart attack severity and guide treatment without needing an MRI.
What could go wrong
This is a retrospective validation study, so it may not reflect real-world performance. The AI algorithms might not be accurate enough to replace MRI, and results may not generalize to other populations.

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

461 people

The number who actually took part.

Started

Apr 2020

Finished

Jun 2025

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

Consecutive AMI patients undergoing PCI and post-PCI CMR, both algorithms were applied to the pre-PCI ECG

Ages

19 years and older

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: * Acute myocardial infarction (STEMI or NSTEMI) undergoing PCI * Subsequent cardiac magnetic resonance imaging performed * Valid pre-PCI 12-lead ECG processable by both AI-ECG algorithms Exclusion Criteria: * Duplicate AMI enrollment * Invalid ECG-CMR date linkage * No valid pre-PCI 12-lead ECG processable by both algorithms

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Conditions

The condition(s) this trial relates to.

acute myocardial infarction

As listed by the trial registrant

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

Acute myocardial infarction (AMI)

Contacts and locations

Locations

  • Yongin Severance Hospital, Yonsei University College of Medicine

    Yongin-si, Gyeonggi-do, 16995, South Korea

More trials for these conditions

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