Evaluation of Diagnostic Accuracy of Artificial Intelligence in Treatment Planning for Non-growing Class II Cases

Cairo University (CU)

Status: Not yet enrolling

Conditions: Class II Malocclusion

Study type: Observational

Funder types: Other

Identifiers

NCT06792747

AI accuracy for Class II 2024

Details and patient eligibility

About

The goal of this observational study is to evaluate the diagnostic accuracy of artificial intelligence in non-growing class II cases. The main question it aims to answer is:

Is Artificial Intelligence (AI) accurate in choosing a treatment modality for non-growing class II cases -whether to camouflage or surgical treatment?

participants already undergone orthodontic treatment, their pre-treatment and post-treatment records will be collected from the archive of orthodontic department at Cairo university

Enrollment: 193 estimated patients

Sex: All

Ages: 18+ years old

Volunteers: Accepts Healthy Volunteers

Inclusion criteria

cases of non-growing patients with class II malocclusion

Exclusion criteria

Growing patient with class II malocclusion