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AI tool aims to predict deadly repeat cardiac arrests in real time

NCT ID NCT07452016

Knowledge-focused Sponsor: MetroHealth Medical Center 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 26, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study tests a machine learning device that uses heart tracings (ECG) to predict if a person will have another cardiac arrest after being revived. Researchers will first see if EMS providers find the device useful in simulated scenarios, then test its accuracy in 68 real patients. The goal is to help emergency teams treat rearrests faster and improve survival.

What this could mean

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

Active substance
machine learning-guided cardiac arrest prediction device
What this could lead to
If successful, this device could help EMS providers predict and treat recurrent cardiac arrest faster, potentially improving survival rates.
What could go wrong
This is an early feasibility study with only 68 participants, testing accuracy and usability, not yet proven to save lives. The device may not work as well in real-world conditions.

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.

Phase

Not a phased trial

Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.

Participants

About 68 people

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

Expected to start

Aug 2026

An estimate. Start dates often move.

Expected to finish

Jun 2029

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.

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: * Adult (18 years of age or older) EMS providers (Simulation trial) * Adult (18 years of age or older) patients have attempted resuscitation from out-of-hospital SCA of any etiology (Clinical trail) Exclusion Criteria: * Non-English-speaking providers * Providers who do not care for cardiac arrest patients * Prisoners * Pediatric patients under age of 18 * DNR/DNI * No resuscitation attempted (declared deceased in field by EMS)

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Conditions

The condition(s) this trial relates to.

cardiac arrest Death, Sudden, Cardiac sudden cardiac arrest ventricular fibrillation ventricular tachycardia

As listed by the trial registrant

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

Sudden cardiac arrest

How to take part

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

  1. The places running it

    1 site. The list below names each one and where it is.

  2. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

    Open the record ↗

  3. 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.

Contacts and locations

Locations

  • The MetroHealth System

    Cleveland, Ohio, 44109, United States

More trials for these conditions

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