Artificial IntelligenceNCT06140849
Evaluation of Artificial Intelligence Models for Diagnosis of Anterior Open Bite Malocclusion
An observational study of Artificial Intelligence and Open Bite, run by Cairo University at 1 site in Egypt.
Trial summary
Building artificial intelligence models for diagnosis of anterior open bite malocclusion Read more about this study
- Who is it for?
- Ages 7 to 60 years
- Conditions the study is for
- Artificial Intelligence, Open Bite
- What is being tested?
- artificial intelligence model
- How many people
- 200 participants
- Where
- 1 siteEgypt
- Study dates
- Nov 2023to Sep 2024
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 7 to 60 years
- All sexes
- No healthy volunteers
- Child, Adult
Study population: Any patient with anterior open bite of any type and severity will be included in the study
Who may be able to join
- anterior open bite
Who cannot join
- craniofacial syndromes, previous orthodontic treatment, poor quality records
Trial locations and contacts
1 site in 1 country.
Egypt1 site, 1 recruiting
- Recruiting
Orthodontic Department, Faculty of Dentistry, Cairo University
Cairo, 11451
Heba Akl, MSc., 01227418915
About this study
Building artificial intelligence models for diagnosis of anterior open bite malocclusion
Read the 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.
- Conditions
- Artificial Intelligence, Open Bite
- Being tested
- artificial intelligence model
- Medical subject headings
- Open Bite
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
artificial intelligence modelDiagnostic test
artificial intelligence model of anterior open bite diagnosis
What is being measured
The primary outcome is the main question the study is designed to answer.
the efficiency of artificial intelligence (AI) model in diagnosis of anterior open bite
The percentage of agreement between the AI model result and the actual diagnosis
Measured: 8 months
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted20 Nov 2023
- Study startNov 2023 (estimated)
- Primary completionJul 2024 (estimated)
- Study completionSep 2024 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Artificial IntelligenceStudies of the same condition, open and under way.
- More trials run by Cairo UniversityThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 200 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Cairo University
- Sponsor type
- University, hospital or other
- Collaborators
- Future University in Egypt
- Responsible party
- Principal investigator, Heba El-Sayed Kamel Akl, Cairo University
- Investigators
- Yehya Mostafa, DDS., PhD, Study director, Cairo
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT06140849
- Sponsor's protocol ID
- 2107765
- Status last verified
- Nov 2023
- First submitted
- 15 Nov 2023
- Last updated
- 20 Nov 2023
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided
Study at a glance
From the registry record, last updated by the sponsor on 20 Nov 2023. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Evaluation of Artificial Intelligence Models for Diagnosis of Anterior Open Bite Malocclusion
- ClinicalTrials.gov ID
- NCT06140849
- Acronym / sponsor ID
- 2107765
- Conditions
- Artificial Intelligence, Open Bite
- Study type
- Observational
- Recruitment status
- Unknown status
- Enrolment
- 200 participants (estimated)
- Lead sponsor
- Cairo UniversityUniversity, hospital or other
- Collaborators
- Future University in Egypt
- Study start
- Nov 2023 (estimated)
- Primary completion
- Jul 2024 (estimated)
- Study completion
- Sep 2024 (estimated)
- First posted
- 20 Nov 2023 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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 design
- Observational model
- Cohort
- Time perspective
- Prospective
Who may qualify
- Ages
- 7 to 60 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Child, Adult
- Study population
- Any patient with anterior open bite of any type and severity will be included in the study
Key inclusion criteria (1 listed)
- anterior open bite
Key exclusion criteria (1 listed)
- craniofacial syndromes, previous orthodontic treatment, poor quality records
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| artificial intelligence modelartificial intelligence model of anterior open bite diagnosis | Diagnostic test | – |
Primary outcome
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
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 20 Nov 2023.
- Individual participant dataSharing planned: Undecided
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Yehya Mostafa, DDS., PhD study director
Cairo
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Artificial Intelligence and Open Bite, run by Cairo University at 1 site in Egypt.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 1 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: status not confirmed, as of the sponsor's last update on 20 Nov 2023. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Egypt. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Results are not available in the source record.
How can a doctor refer a patient or contact the research team?
Contact Heba Akl, BDS, MSc., PhD (+201227418915, heba.akl@dentistry.cu.edu.eg), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
the efficiency of artificial intelligence (AI) model in diagnosis of anterior open bite (time frame: 8 months). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 20 Nov 2023; AzTrials last refreshed its copy on 7 Nov 2026.