AI analyzes heart scans to predict heart attacks
NCT ID NCT07432620
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
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2,281 people
The number who actually took part.
- Started
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Jun 2019
- Expected to finish
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Oct 2028
An estimate. End dates often move.
- Lead sponsor
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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
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18 years and older
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
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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
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Milton Keynes University Hospital
Milton Keynes, Buckinghamshire, MK6 5LD, United Kingdom
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Other studies related to the condition(s) this trial covers.
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