AI reads faces to diagnose rare genetic diseases
NCT ID NCT06219421
First seen Jun 24, 2026 · Last updated Jun 24, 2026
Summary
This study aims to train an artificial intelligence system to recognize rare genetic diseases by analyzing front and profile facial photographs. Researchers will collect photos from 22,000 patients with craniofacial features linked to rare conditions, as well as control subjects. The goal is to help doctors diagnose these diseases faster and more accurately, especially when subtle facial signs are hard to spot.
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Contacts and locations
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Necker - Hôpital des Enfants Malades
RECRUITINGParis, France
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 successful, this could lead to a faster, AI-assisted way to diagnose rare genetic diseases from facial photos, reducing years-long delays.
What could go wrong
This is an early-stage observational study, not a treatment trial. The AI may not work equally well across all ethnicities or rare conditions, and it won't replace genetic testing.
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.