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AI may spot deadly heart rhythms before they strike

NCT ID NCT07792694

Knowledge-focused Sponsor: Catharina Ziekenhuis Eindhoven Source: ClinicalTrials.gov ↗

What the study statuses mean

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Recruitment status, easiest to join first

Recruiting now This study
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
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 28, 2026 · Last updated Aug 28, 2026

Summary

This study tests whether artificial intelligence can use continuous ECG data to predict and detect life-threatening heart arrhythmias in patients admitted with acute cardiac illness. Researchers will analyze stored ECG data from 3000 adult patients to see if AI models can forecast ventricular tachycardia or fibrillation up to 30 minutes and 1 day ahead. The goal is to improve timely intervention and reduce false alarms that contribute to alarm fatigue.

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 models analyzing continuous ECG data
What this could lead to
If successful, this could lead to AI tools that help doctors predict and detect dangerous heart rhythms earlier, potentially reducing alarm fatigue and improving patient safety.
What could go wrong
This is an observational study, so it won't directly test a treatment. The AI models may not perform well enough in real-world settings, and the results may not apply to all hospitals.

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 3,000 people

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

Started

Jan 2023

Expected to finish

Apr 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.

Who is studied

Patients aged 18 years or older admitted to the Catharina hospital Eindhoven (CZE) with cardiac diseases from 1/1/2023.

Ages

18 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: * Patients admitted from 1/1/2023\* * Patients aged 18 years or older * Admitted for acute cardiac illness or after elective cardiac procedures * Who are on ECG monitoring in the CCU, ICU or ward * Patients for whom continuous waveform ECG data have been routinely stored. * Continuous waveform ECG data has been routinely stored in the CZE since 1/1/2023 on the ICU, since 1/12/2025 on the CCU and on the ward it has yet to be implemented. As our project utilizes this continuous ECG data, it will only include patients for whom this data is available. Exclusion Criteria: \- Patients who expressed their preference for not having their data used for scientific research or to improve quality of care in the opt-out program of the CZE.

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Conditions

The condition(s) this trial relates to.

acute myocardial infarction Arrhythmias, Cardiac cardiac rhythm disease ventricular fibrillation ventricular tachycardia

As listed by the trial registrant

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

Acute myocardial infarction (AMI) Cardiac arrhythmias Ventricular fibrillation Ventricular tachycardia (VT)

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

  • Catharina Hospital Eindhoven

    RECRUITING

    Eindhoven, North Brabant, 5623 EJ, Netherlands

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