AI could predict dangerous heart rhythms after major surgery
NCT ID NCT07348991
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study aims to see if artificial intelligence can predict serious heart rhythm problems, like atrial fibrillation, after high-risk surgeries. Researchers will record ECGs from 300 adults before surgery and analyze over 200 heart cycle parameters to find the best prediction method. The goal is to improve safety for patients undergoing major operations on the heart, aorta, liver, lungs, or other organs.
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Study facts
What this study's own registry entry says, in plain language.
- Participants
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About 300 people
The number the study aims to enrol. It can still change while the study runs.
- Expected to start
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Dec 2026
An estimate. Start dates often move.
- Expected to finish
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May 2028
An estimate. End dates often move.
- Lead sponsor
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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
The study will analyze patients undergoing elective high-risk cardiac surgeries, including cardiac surgery, aortic surgery, esophageal and gastric cardia surgery, and thoracic surgery. Patients undergoing large-scale oncological surgeries will also be included.
- 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: * Patients over 18 years of age; * Scheduled surgery with high cardiac risk * Informed consent was given to participate in the study Exclusion Criteria: * Cancellation of the surgery for any reason; * The patient's unwillingness to continue participating in the study; * Poor quality of the ECG recording on a single-channel ECG monitor.
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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.
How to take part
Only the study team decides who joins. These are the ways to reach them.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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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.
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Other studies related to the condition(s) this trial covers.
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