AI spots rare muscle disease from a simple video
NCT ID NCT04377217
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This completed pilot study tested whether a computer algorithm could diagnose facioscapulohumeral muscular dystrophy (FSHMD) by analyzing video recordings of people's faces. Researchers recorded 17 participants, including patients with FSHMD, other muscle diseases, and healthy controls. The goal was to develop a tool that could automatically detect facial muscle damage and allow remote diagnosis, reducing the need for in-person clinic visits.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
Active substance
computer vision algorithm
What this could lead to
If successful, this could enable remote, large-scale diagnosis of facioscapulohumeral muscular dystrophy using just a video recording.
What could go wrong
This is a small pilot study with only 17 participants, so the algorithm may not work well in larger, more diverse groups. It is not a treatment.
Disclaimer
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the original study
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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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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
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Locations
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Hopital Pasteur 2
Nice, 06001, France