None listed
Conditions
Interventions
Intervention1: Artificial Neural Networking Modelling Method: Artificial Neural Network Modelling Method for analysing the intra oral photographs to give out a diagnosis
Control Intervention1: Convent
Sponsors
Dr Panshul Kharche
Eligibility
Inclusion criteria
Inclusion criteria: 1.Patients of age 14-75yrs groups are included. 2.Patients of all genders are included. 3.Patients with normal occlusion. 4.Patients who diagnosed to have gingivitis and have 24 or more teeth.
Exclusion criteria
Exclusion criteria: 1.Patients under the age of 14 yrs are not included in the study. 2.Patients with other gingival diseases such as localized periodontitis , aggressive periodontitis, chronic periodontitis, and necrotizing periodontal diseases 3.Patients with all systemic diseases and pre historic medications are not included in the study.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| To assess and compare the diagnostic accuracy of an Artificial Neural Network (AI-based tool) with conventional clinical methods (Gingival Index and Plaque Index) for the detection of gingivitis in patients.Timepoint: Single time point: Diagnostic evaluations (both conventional and AI-based) were performed during the same outpatient visit, without any follow-up. T0 (Baseline): On the day of enrollment, each patient underwent: Clinical examination using Gingival Index & Plaque Index Intraoral imaging for AI-based diagnosis | — |
Secondary
| Measure | Time frame |
|---|---|
| nilTimepoint: nil | — |
Countries
India
Contacts
Public ContactDr Panshul Kharche
NIMS Dental College
Outcome results
None listed