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.
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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
Locations
-
Hopital Pasteur 2
Nice, 06001, France
More trials for these conditions
Other studies related to the condition(s) this trial covers.