AI reads your Heart's electrical signals to predict failure years in advance
NCT ID NCT07519434
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study tested whether artificial intelligence (AI) could predict a person's risk of developing a specific type of heart failure (HFrEF) up to 5 years in the future, using only a standard ECG. Researchers analyzed data from over 286,000 adults in China and the US. The goal was to create a simple, widely available tool to identify high-risk individuals before symptoms appear, allowing for earlier prevention or treatment.
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Study facts
What this study's own registry entry says, in plain language.
- Participants
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286,709 people
The number who actually took part.
- Started
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Feb 2014
- Finished
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Dec 2023
- 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
Participants were derived from three independent cohorts, including Zhongshan Hospital, Shanghai Tenth People's Hospital, and Beth Israel Deaconess Medical Center. The study population included adult patients who underwent routine ECG and echocardiographic evaluation in real-world clinical settings.
- Ages
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18 years and older
- Sex
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Anyone
- Healthy volunteers
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Accepted
You do not need to have the condition being studied to take part.
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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: Adults aged ≥18 years Underwent standard 12-lead electrocardiography (ECG) Underwent transthoracic echocardiography with available LVEF measurement Availability of paired ECG-echocardiography data Data available for follow-up assessment Exclusion Criteria: Missing or incomplete ECG or echocardiography data Poor-quality ECG recordings unsuitable for analysis Missing key clinical variables required for model development
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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
-
Study site
Shanghai, Shanghai Municipality, 200436, China
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Other studies related to the condition(s) this trial covers.
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