Evaluation of Artificial Intelligence Models for Diagnosis of Anterior Open Bite Malocclusion

Recruiting

• Conditions: Open Bite; Artificial Intelligence

• Registration Number: NCT06140849
• Lead Sponsor: Cairo University

Brief Summary

Building artificial intelligence models for diagnosis of anterior open bite malocclusion

Detailed Description

The study aims at creating artificial intelligence models, with the input being the pre-treatment photographs and radiographs of open bite patients that are routinely taken for diagnosis and treatment planning. The output of the AI model will be the type and phenotype of anterior open bite. The photographs and radiographs with highest quality will be arranged in certain standardized templates to facilitate the machine learning process.

Study Timeline

• Status Verified: 2023-11
• Study Start: 2023-11
• Study First Submitted: 2023-11-15
• Study First Submitted QC: 2023-11-19
• Last Update Submitted: 2023-11-19
• Study First Posted: 2023-11-20
• Last Update Posted: 2023-11-20
• Primary Completion: 2024-07
• Study Completion: 2024-09

Recruitment & Eligibility

• Status: RECRUITING
• Sex: All
• Target Recruitment: 200

Inclusion Criteria

• anterior open bite

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Exclusion Criteria

• craniofacial syndromes, previous orthodontic treatment, poor quality records

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Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
the efficiency of artificial intelligence (AI) model in diagnosis of anterior open bite	8 months	The percentage of agreement between the AI model result and the actual diagnosis

Trial Locations

Locations (1)

Orthodontic Department, Faculty of Dentistry, Cairo University; 🇪🇬 Cairo, Egypt