AI face scan could spot hidden heart disease
NCT ID NCT07277686
First seen Jun 26, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study tests whether an artificial intelligence (AI) algorithm can screen for coronary artery disease (CAD) by analyzing facial images. Researchers will enroll 1,392 high-risk adults (those with diabetes, high blood pressure, or over 65) and use the AI to classify them as high or low risk. All participants will then undergo a CT scan of the heart to see if the AI's predictions match actual CAD. The goal is to see if this simple, non-invasive method can improve early detection in community settings.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- Active substance
- AI facial analysis algorithm
- What this could lead to
- If successful, this could provide a quick, non-invasive screening tool for coronary artery disease using just a facial photo.
- What could go wrong
- This is an early-stage study focused on screening accuracy, not treatment. The AI may not perform well in real-world settings or diverse 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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About 1,392 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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Dec 2025
- Expected to finish
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Aug 2026
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
The study population consists of community-dwelling residents identified as high-risk for Coronary Heart Disease (CHD). Participants are recruited from local community health centers and primary care settings. The cohort primarily comprises elderly individuals (aged \> 65 years) and those with established cardiovascular risk factors, specifically diabetes mellitus and hypertension, who have not been previously diagnosed with CHD.
- 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.
Show the full entry requirements Hide 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. * Community high-risk population, defined as individuals meeting at least one of the following criteria: 1. Diagnosed with Diabetes Mellitus; 2. Diagnosed with Hypertension; 3. Advanced age (\> 65 years old). Exclusion Criteria: * Prior confirmed diagnosis of Coronary Heart Disease (CAD), including clinically diagnosed CAD, history of Coronary Artery Bypass Grafting (CABG), or history of Percutaneous Coronary Intervention (PCI). * History of diagnosed Heart Failure. * Significant facial alterations or conditions that may interfere with AI image analysis, such as plastic surgery, severe facial trauma, or heavy makeup. * Refusal to participate in the 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.
How to take part
Only the study team decides who joins. These are the ways to reach them.
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The places running it
3 sites. The list below names each one and where it is.
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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.
Contacts and locations
Locations
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Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College
NOT_YET_RECRUITINGBeijing, 100037, China
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Zhoukou Chuanhui District Hospital of Traditional Chinese Medicine
RECRUITINGZhoukou, Henan, 466000, China
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Zhoukou Specialized Disease Hospital
RECRUITINGZhoukou, Henan, 466000, China
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