AI reads your face to unlock chronic pain secrets
NCT ID NCT04896827
First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study aims to develop a screening test for a pain control mechanism called DNIC, which is often faulty in people with chronic pain. Researchers will use cameras to capture facial expressions during pain tests and apply artificial intelligence to see if they can automatically measure pain and pain control effectiveness. The study includes both healthy volunteers and people with chronic pain.
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 simple, automated test using facial recognition to help diagnose pain control problems in chronic pain patients.
What could go wrong
The study is suspended, and it is still early-stage research. The AI algorithm may not be accurate enough for clinical use, and results may not apply to all pain conditions.
Disclaimer
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This is a summary of
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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Université de Sherbrooke
Sherbrooke, Quebec, J1H 5N4, Canada