Artificial Intelligence for the Diagnosis of Gingivitis

N/AActive Not RecruitingNCT07727421

Al-Azhar University250 enrolled

Overview

this study aims to use AI to diagnose the stages of gingivitis

I take clinical photography of patient mouth have gingivitis by digital camera and do intra oral panoramic x-rays to make sure of there is no bone loss then I enter patient data in AI model to grading them to mild ,moderate ,sever gingivitis

Study Type

OBSERVATIONAL

Enrollment

250

Conditions

Gingivitis

Interventions

Artificial intelligence Diagnostic ModelDIAGNOSTIC_TEST

An artificial intelligence model trained to analyze digital photographs/radiographs to automatically classify and diagnose the stages of periodontal disease

Eligibility

Sex: ALLMin age: 15 YearsMax age: 50 YearsHealthy volunteers:

Medical Language ↔ Plain English

Inclusion Criteria: * patients in both genders within age range of 15-50 years * smokers patients * patient treated for stable systemic disease Exclusion Criteria: * pregnant women to avoid risk of panoramic x-ray * patient with active systemic diseases * patient taking antibiotics * patient receiving anticancer therapy * patient with excessive gingival hyperplasia and with extensive melanin pigmentation

Locations (1)

Faculty of dental medicine ,Al-Azhar unversity

Cairo, الجيزة, Egypt

Outcomes

Primary Outcomes

Diagnostic Accuracy of the AI model

The primary outcome is to evaluate the diagnostic accuracy, sensitivity, and specificity of the AI model in detecting and staging periodontal disease compared to clinical/radiographic expert diagnosis.

Time frame: during the baseline clinical and radiographic assessment

Data from ClinicalTrials.gov

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