Health Condition 1: K089- Disorder of teeth and supporting structures, unspecified
Conditions
Interventions
Intervention1: Myofunctional appliance: Assessment of prediction of soft tissue and facial changes using machine learning algorithms in adolescent patient undergoing functional jaw orthopedics.
Contro
Sponsors
DR SujiSDevan
Eligibility
Inclusion criteria
Inclusion criteria: Patient with skeletal Class II relation Patient with mandibular retrognathy Patient with Overjet >5mm Bilateral Class II molar relation Patients with Frankfort Mandibular angle 17-22
Exclusion criteria
Exclusion criteria: Patient with TMJ dysfunction Patient with congenitally missing teeth Class II surgical cases Patients with Peridontal diseases Systemic diseases that may affect orthodontic treatment results
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Prediction of soft tissue and facial changes using machine learning algorithm in classII functional cases.Timepoint: Eight months | — |
Secondary
| Measure | Time frame |
|---|---|
| Accuracy of prediction of soft tissue and facial changes using machine learning algorithm in Class II functional casesTimepoint: Six months | — |
Countries
India
Contacts
Public ContactSUJI S DEVAN
INSTITUTE OF DENTAL STUDIES AND TECHNOLOGIES KADRABAD MODINAGAR
Outcome results
None listed