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

NCT06325514 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 241

Last updated 2025-06-04

No results posted yet for this study

Summary

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.

Conditions

  • Oral Cancer
  • Oral Lichen Planus
  • Fordyce Granule
  • Leukoplakia
  • Erythroplakia
  • Leukoedemas, Oral
  • Lichenoid Reaction

Interventions

DIAGNOSTIC_TEST

Artificial intelligence based program

the AI based program is based on image analysis

Sponsors & Collaborators

  • Cairo University

    lead OTHER

Principal Investigators

  • Noran AM AbdelMoaty, MsC · Cairo University

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2024-04-01
Primary Completion
2024-10-01
Completion
2024-12-01

Countries

  • Egypt

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06325514 on ClinicalTrials.gov