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

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

Recruiting
7-60 years
All
Phase N/A
  • Technical (Original)
  • Simplified (AI rewritten)

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Overview

Building artificial intelligence models for diagnosis of anterior open bite malocclusion

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.

Eligibility

Inclusion Criteria:

  • anterior open bite

Exclusion Criteria:

  • craniofacial syndromes, previous orthodontic treatment, poor quality records

Study details
    Artificial Intelligence
    Open Bite

NCT06140849

Cairo University

27 January 2024

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