NCT06792747

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

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 193 (estimated)
• Sponsor: Cairo University · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Accepted

Summary

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

Conditions

• Class II Malocclusion

Timeline

• Start date: 2025-01-01
• Primary completion: 2025-06-01
• Completion: 2025-12-01
• First posted: 2025-01-27
• Last updated: 2025-01-27