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NCT06325514

Artificial Intelligence Based Program to Classify Oral Cavity Findings Based on Clinical Image Analysis

Completed Last updated 4 June 2025
What this trial tests

trial testing Artificial intelligence based program in Oral Cancer in 241 participants. Completed in 1 December 2024.

Timeline
1 April 2024
Primary endpoint
1 October 2024
1 December 2024

Quick facts

Lead sponsorCairo University
StatusCompleted
Study typeOBSERVATIONAL
Enrollment241
Start date1 April 2024
Primary completion1 October 2024
Estimated completion1 December 2024
Sites1 location across Egypt

Drugs / interventions tested

Conditions studied

Sponsor

Cairo University

Who can join

18 and older, any sex, with Oral Cancer or Oral Lichen Planus. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

This study aims to develop an AI program that can classify oral findings into Normal/variation of normal or an oral disease by clinical photos analysis, aiding in lowering the percentages of false positive and false negative diagnosis of oral diseases.

Publications & conference data

No peer-reviewed publications indexed yet for this trial. Completed trials usually publish results within 12-18 months.

Verify or expand the search:

Other recruiting trials for Oral Cancer

Currently open trials in the same condition.

Other Cairo University trials

Trials by the same sponsor.

Verify against primary sources

Data sources for this page

Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT06325514.

Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing