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Snap a selfie, spot heart disease? new algorithm tested

NCT ID NCT06850233

Diagnosis Sponsor: China National Center for Cardiovascular Diseases Source: ClinicalTrials.gov ↗

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
Running, but no longer taking on new participants.
Completed This study
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 27, 2026 · Last updated Jun 27, 2026

Summary

This study tested whether a computer algorithm can spot signs of coronary artery disease by analyzing facial photos. Researchers enrolled 100 adults from the community who had a moderate risk of heart disease. The goal was to see how well the algorithm could identify those with blocked arteries, potentially offering a simple, non-invasive screening tool.

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 the algorithm proves accurate, it could offer a quick, low-cost way to screen for hidden heart disease using just a photo.
What could go wrong
This is a small, completed validation study (100 people) and may not work in broader populations. The algorithm is not a replacement for standard medical tests.

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

100 people

The number who actually took part.

Started

Mar 2025

Finished

Jun 2025

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

community sample

Ages

30 to 80 years

Sex

Anyone

Healthy volunteers

Accepted

You do not need to have the condition being studied to take part.

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: * Community population with a pre-test probability greater than 5% for coronary artery disease Exclusion Criteria: * Prior percutaneous coronary intervention (PCI) * Prior coronary artery bypass graft (CABG) * The history of heart failure * With artificially facial alteration (i.e. cosmetic surgery, facial trauma or make-up) * Other situations which make patients fail to be photographed

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Conditions

The condition(s) this trial relates to.

coronary artery disorder

As listed by the trial registrant

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

Coronary artery disease

Contacts and locations

Locations

  • People's Road Community Health Service Center

    Zhoukou, Henan, 466099, China

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