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AI analyzes heart scans to predict heart attacks

NCT ID NCT07432620

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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 2 times

Summary

This study looks at whether artificial intelligence can improve predictions of serious heart events in people with chest pain. Researchers will analyze stress echocardiogram results and routine medical data from about 2,281 adults. No extra visits or tests are needed for participants. The goal is to see if AI can better identify who is at risk for heart attack, stroke, or needing a procedure like a stent.

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 could lead to a more accurate way to predict heart attacks and other heart problems in people with chest pain, helping doctors decide who needs further tests.
What could go wrong
This is an observational study, not a treatment trial. The AI model may not be accurate enough for all patients, and results may not apply to other hospitals or 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

2,281 people

The number who actually took part.

Started

Jun 2019

Expected to finish

Oct 2028

An estimate. End dates often move.

Lead sponsor

A government agency

The lead sponsor is a government body.

Who can take part

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

Who is studied

Single-centre retrospective cohort drawn from Milton Keynes University Hospital records, consisting of approximately 3,000 adults who underwent clinically indicated pharmacological (dobutamine) stress echocardiography for assessment of chest pain / suspected coronary artery disease (dataset dating back to 2002, covering \~15 years of reports). Stress echocardiography report variables are extracted and linked to routine clinical outcome data for analysis.

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: * Age 18 years or older at the time of the index stress echocardiography. * Referred for pharmacological (dobutamine) stress echocardiography at Milton Keynes University Hospital for assessment of suspected coronary artery disease / chest pain. * Stress echocardiography report available in the hospital dataset for data extraction and conversion into a structured database. Exclusion Criteria: * Age under 18 years at the time of the index stress echocardiography. * No available/usable stress echocardiography report for extraction into the study database. * Unable to link the record to follow-up outcome information using routine hospital systems (with attempted supplementary checks where needed). * Patients who have registered a National Data Opt-out and are therefore not eligible for use of their confidential patient information for research/secondary purposes in this study.

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Conditions

The condition(s) this trial relates to.

As listed by the trial registrant

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

Contacts and locations

Locations

  • Milton Keynes University Hospital

    Milton Keynes, Buckinghamshire, MK6 5LD, United Kingdom

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