Class II MalocclusionNCT06792747
Evaluation of Diagnostic Accuracy of Artificial Intelligence in Treatment Planning for Non-growing Class II Cases
An observational study of Class II Malocclusion, run by Cairo University.
Trial summary
The goal of this observational study is to evaluate the diagnostic accuracy of artificial intelligence in non-growing class II cases. The main question it aims to answer is: Is Artificial Intelligence (AI) accurate in choosing a treatment modality for non-growing class II cases -whether to camouflage or surgical… Read more about this study
- Who is it for?
- Ages 18 years and olderHealthy volunteers can take part
- Conditions the study is for
- Class II Malocclusion
- How many people
- 193 participants
- Where
- No sites listed yet
- Study dates
- Jan 2025to Dec 2025
- 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 18 years and older
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Study population: Egyptian non-growing individuals with class II malocclusion
Who may be able to join
- cases of non-growing patients with class II malocclusion
Who cannot join
- Growing patient with class II malocclusion
Trial locations and contacts
No sites are listed yet.
About this study
The goal of this observational study is to evaluate the diagnostic accuracy of artificial intelligence in non-growing class II cases. The main question it aims to answer is:
Is Artificial Intelligence (AI) accurate in choosing a treatment modality for non-growing class II cases -whether to camouflage or surgical treatment?
participants already undergone orthodontic treatment, their pre-treatment and post-treatment records will be collected from the archive of orthodontic department at Cairo university
- Conditions
- Class II Malocclusion
- Medical subject headings
- Overbite
What is being measured
The primary outcome is the main question the study is designed to answer.
Accuracy of Artificial intelligence in choosing\predicting the best treatment modality
Measured: from enrollment to the end of treatment at 1 year
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted27 Jan 2025
- Study startJan 2025 (estimated)
- Primary completionJun 2025 (estimated)
- Study completionDec 2025 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Class II MalocclusionStudies 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
- Retrospective
- Enrolment
- 193 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Cairo University
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Israa Abuobieda Ibrahim Elbagari, Cairo University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT06792747
- Sponsor's protocol ID
- AI accuracy for Class II 2024
- Status last verified
- Jan 2024
- First submitted
- 20 Jan 2025
- Last updated
- 27 Jan 2025
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
Study at a glance
From the registry record, last updated by the sponsor on 27 Jan 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Evaluation of Diagnostic Accuracy of Artificial Intelligence in Treatment Planning for Non-growing Class II Cases
- ClinicalTrials.gov ID
- NCT06792747
- Acronym / sponsor ID
- AI accuracy for Class II 2024
- Conditions
- Class II Malocclusion
- Study type
- Observational
- Recruitment status
- Unknown status
- Enrolment
- 193 participants (estimated)
- Lead sponsor
- Cairo UniversityUniversity, hospital or other
- Study start
- Jan 2025 (estimated)
- Primary completion
- Jun 2025 (estimated)
- Study completion
- Dec 2025 (estimated)
- First posted
- 27 Jan 2025 (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.
The goal of this observational study is to evaluate the diagnostic accuracy of artificial intelligence in non-growing class II cases. The main question it aims to answer is:
Is Artificial Intelligence (AI) accurate in choosing a treatment modality for non-growing class II cases -whether to camouflage or surgical treatment?
participants already undergone orthodontic treatment, their pre-treatment and post-treatment records will be collected from the archive of orthodontic department at Cairo university
Study design
- Observational model
- Cohort
- Time perspective
- Retrospective
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
- Study population
- Egyptian non-growing individuals with class II malocclusion
Key inclusion criteria (1 listed)
- cases of non-growing patients with class II malocclusion
Key exclusion criteria (1 listed)
- Growing patient with class II malocclusion
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
Accuracy of Artificial intelligence in choosing\predicting the best treatment modality
Time frame: from enrollment to the end of treatment at 1 year
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 27 Jan 2025.
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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.
Questions about this trial
What is this clinical trial studying?
An observational study of Class II Malocclusion, run by Cairo University.
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 27 Jan 2025. Status can change between updates, so confirm with the study contact before making plans.
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 Israa abuobieda elbagari, Msc candidate (+201129684395, israa.ibrahim@dentistry.cu.edu.eg), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Accuracy of Artificial intelligence in choosing\predicting the best treatment modality (time frame: from enrollment to the end of treatment at 1 year). 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 27 Jan 2025.