Gingivitis
Conditions
Keywords
deep learning, Artificial Intelligence, clinical photography, dental radiographes
Brief summary
this study aims to use AI to diagnose the stages of gingivitis
Detailed description
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
Interventions
DIAGNOSTIC_TESTArtificial intelligence Diagnostic Model
An artificial intelligence model trained to analyze digital photographs/radiographs to automatically classify and diagnose the stages of periodontal disease
Sponsors
Al-Azhar University
Study design
Observational model
OTHER
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
15 Years to 50 Years
Healthy volunteers
Yes
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
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Diagnostic Accuracy of the AI model | during the baseline clinical and radiographic assessment | 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. |
Countries
Egypt
Outcome results
None listed