AI trained to spot hidden tooth infections on routine x-rays
NCT ID NCT05888935
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study is testing whether an artificial intelligence program can detect periapical lesions (infections at the tip of a tooth root) on common panoramic dental X-rays. The AI is trained using 3D cone-beam CT scans as the gold standard. Researchers will enroll 2000 patients who have had both types of imaging within three months. If the AI works well, it could help dentists catch these infections earlier without needing more advanced scans.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
Active substance
Artificial intelligence algorithm
What this could lead to
If successful, this AI could help dentists find hidden tooth infections earlier using a common, low-radiation X-ray, potentially reducing the need for more advanced scans.
What could go wrong
This is an early-stage algorithm test, not a treatment. The AI may not be accurate enough in real-world use, and the study only includes patients who already had both types of scans.
Disclaimer
Read more
Show less
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.
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.
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for PERIAPICAL DISEASES are added.
By submitting, you agree to our Terms of use
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
Show contact details
Enter your email to view the contact information for this study.
By submitting, you agree to our Terms of use
Study contacts
-
Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
-
CHR Metz-Thionville/Hopital de Mercy
RECRUITINGMetz, 57085, France
Contact Email: •••••@•••••
Contact Phone: •••-•••-•••• Email: •••••@•••••
Contact
Contact