Using artificial intelligence to detect dental periapical lesions on panoramic radiographs

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational study aims to enhance the early diagnosis of periapical lesions using artificial intelligence applied to dental panoramic radiographs. By comparing the detection rates of these lesions through various imaging techniques, including conventional radiography and advanced three-dimensional imaging, the study seeks to identify the most effective methods for early detection. The ultimate goal is to improve patient care by facilitating quicker diagnosis and treatment of these lesions, which can lead to serious health complications if left untreated.

Why it matters

Who can join: the full rules

Inclusion Criteria:

* Patients who have had CBCT and panoramic dental imaging with less than 3 months between the two examinations

Exclusion Criteria:

* Patients who refused to participe in the study.

Where it's running

• CHR Metz-Thionville/Hopital de Mercy
  Metz, France Recruiting

Study contacts

• Principal investigator: Marc ENGELS-DEUTSCH, MD — CHR Metz Thionville Hopital de Mercy
• Study coordinator: Arpiné EL NAR, PhD
• Email: a.elnar@chr-metz-thionville.fr
• Phone: 0033387557766

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.