Evaluation of Diagnostic Accuracy of Artificial Intelligence in Treatment Planning for Non-growing Class II Cases
NCT ID: NCT06792747
Last Updated: 2025-01-27
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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NOT_YET_RECRUITING
193 participants
OBSERVATIONAL
2025-01-31
2025-12-31
Brief Summary
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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
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Detailed Description
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Conditions
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Study Design
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COHORT
RETROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
18 Years
ALL
Yes
Sponsors
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Cairo University
OTHER
Responsible Party
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Israa Abuobieda Ibrahim Elbagari
Master Degree student at the department of orthodontics
Central Contacts
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Other Identifiers
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AI accuracy for Class II 2024
Identifier Type: -
Identifier Source: org_study_id
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