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

November 19, 2023 updated by: Heba El-Sayed Kamel Akl, Cairo University
Building artificial intelligence models for diagnosis of anterior open bite malocclusion

Study Overview

Status

Recruiting

Conditions

Intervention / Treatment

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 Type

Observational

Enrollment (Estimated)

200

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

  • Egypt
      • Cairo, Egypt, 11451
        • Recruiting
        • Orthodontic department, Faculty of Dentistry, Cairo University
        • Contact:
          • Heba Akl, MSc.
          • Phone Number: 01227418915

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult

Accepts Healthy Volunteers

No

Sampling Method

Probability Sample

Study Population

Any patient with anterior open bite of any type and severity will be included in the study

Description

Inclusion Criteria:

  • anterior open bite

Exclusion Criteria:

  • craniofacial syndromes, previous orthodontic treatment, poor quality records

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
the efficiency of artificial intelligence (AI) model in diagnosis of anterior open bite
Time Frame: 8 months
The percentage of agreement between the AI model result and the actual diagnosis
8 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Cairo University

Collaborators

Future University in Egypt

Investigators

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

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

November 1, 2023

Primary Completion (Estimated)

July 1, 2024

Study Completion (Estimated)

September 1, 2024

Study Registration Dates

First Submitted

November 15, 2023

First Submitted That Met QC Criteria

November 19, 2023

First Posted (Actual)

November 20, 2023

Study Record Updates

Last Update Posted (Actual)

November 20, 2023

Last Update Submitted That Met QC Criteria

November 19, 2023

Last Verified

November 1, 2023

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 2107765

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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