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
- Name: Heba Akl, BDS, MSc., PhD
- Phone Number: +201227418915
- Email: heba.akl@dentistry.cu.edu.eg
Study Locations
-
-
-
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
Collaborators
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.