CompletedNot Applicable

Accuracy of Artificial Intelligence Technology in Detecting Periapical Lesions in Human Teeth.

Egypt100 participantsStarted 2024-12-06

Plain-language summary

Aims to evaluate the accuracy of using Artificial intelligence software in detecting the presence of periapical lesion compared to CBCT imaging.

Age range18 Years – 50 Years

SexALL

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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.

✓. All patients must be medically free from any systemic disease that can affect root canal treatment.
✓. 18 to 50 years old patients with permanent teeth presenting with periapical pathosis.
✓. No sex predilection.
✓. All patients must have good oral hygiene.
✓. Restorable teeth
✓. Positive patient's acceptance for participating in the study.
✓. Patients able to sign informed consent

✕. Patients above 50 years or patients below 18 years.
✕. Patients with very poor oral hygiene.
✕. Pregnant women after taking detailed history and pregnancy test must be in the first visit.
✕. Psychologically disturbed patients.

CBCT scans

Timeframe: 1 year

NCT IDNCT07319182

SponsorFuture University in Egypt

Sponsor typeOTHER

Study typeINTERVENTIONAL

Primary completion2025-11-01