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

Sponsor
Cairo University (Other)
Overall Status
Recruiting
CT.gov ID
NCT06140849
Collaborator
Future University in Egypt (Other)
200
1
10
20

Study Details

Study Description

Brief Summary

Building artificial intelligence models for diagnosis of anterior open bite malocclusion

Condition or Disease Intervention/Treatment Phase
  • Diagnostic Test: artificial intelligence model

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 Design

Study Type:
Observational
Anticipated Enrollment :
200 participants
Observational Model:
Cohort
Time Perspective:
Prospective
Official Title:
Evaluation of Artificial Intelligence Models for Diagnosis of Anterior Open Bite Malocclusion
Anticipated Study Start Date :
Nov 1, 2023
Anticipated Primary Completion Date :
Jul 1, 2024
Anticipated Study Completion Date :
Sep 1, 2024

Outcome Measures

Primary Outcome Measures

  1. 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

Eligibility Criteria

Criteria

Ages Eligible for Study:
7 Years to 60 Years
Sexes Eligible for Study:
All
Accepts Healthy Volunteers:
No
Inclusion Criteria:
  • anterior open bite
Exclusion Criteria:
  • craniofacial syndromes, previous orthodontic treatment, poor quality records

Contacts and Locations

Locations

Site City State Country Postal Code
1 Orthodontic Department, Faculty of Dentistry, Cairo University Cairo Egypt 11451

Sponsors and Collaborators

  • Cairo University
  • Future University in Egypt

Investigators

  • Study Director: Yehya Mostafa, DDS., PhD, Cairo

Study Documents (Full-Text)

None provided.

More Information

Publications

None provided.
Responsible Party:
Heba El-Sayed Kamel Akl, Lecturer at Orthodontic Department- Faculty of Dentistry, Cairo University
ClinicalTrials.gov Identifier:
NCT06140849
Other Study ID Numbers:
  • 2107765
First Posted:
Nov 20, 2023
Last Update Posted:
Nov 20, 2023
Last Verified:
Nov 1, 2023
Individual Participant Data (IPD) Sharing Statement:
Undecided
Plan to Share IPD:
Undecided
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
No
Additional relevant MeSH terms:

Study Results

No Results Posted as of Nov 20, 2023