Snap a selfie, spot heart disease? new algorithm tested

NCT ID NCT06850233

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

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.

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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

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Locations

People's Road Community Health Service Center

Zhoukou, Henan, 466099, China

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