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AI-Guided Treatment Planning in Orthodontic Patients With Missing Upper Lateral Incisors
Sponsor: Cairo University
Summary
This pilot study aims to evaluate the diagnostic accuracy of artificial intelligence (AI) in orthodontic treatment planning for patients with congenitally missing upper lateral incisors. The study compares AI-generated treatment recommendations with decisions made by experienced orthodontists regarding two main treatment options: space closure and prosthetic replacement. Orthodontic records, including intraoral and extraoral photographs, panoramic radiographs, and cephalometric analyses, will be collected for each case. Two orthodontists with over 10 years of clinical experience will independently evaluate each case using a treatment decision checklist with predefined cutoff points. AI predictions will then be compared to orthodontists' consensus decisions to determine agreement rates and accuracy. The findings will provide insight into the potential role of AI in supporting complex orthodontic decision-making.
Official title: Evaluation of Artificial Intelligence in Planning the Treatment for Cases With Missing Upper Lateral Incisors (A Diagnostic Accuracy Pilot Study)
Key Details
Gender
All
Age Range
Any - Any
Study Type
OBSERVATIONAL
Enrollment
110
Start Date
2024-03-28
Completion Date
2026-08
Last Updated
2025-08-21
Healthy Volunteers
Yes
Locations (1)
Faculty of Oral and Dental Medecine -Cairo University
Cairo, Manial, Egypt