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.
Eligibility
Sex
ALL
Min age
—
Max age
—
Healthy volunteers
Accepted
Inclusion Criteria:
* Patients diagnosed with unilateral or bilateral congenitally missing maxillary lateral incisors (confirmed by panoramic radiograph).
* Availability of complete diagnostic records: intraoral photographs, extraoral photographs, cephalometric radiograph, and panoramic radiograph.
* Cases either finished (completed orthodontic treatment) or unfinished (under treatment).
* No prior prosthetic replacement for the missing lateral incisors before initial orthodontic planning.
Exclusion Criteria:
* Patients with craniofacial syndromes or cleft lip/palate.
* Cases with incomplete or poor-quality diagnostic records.
* History of previous orthodontic treatment unrelated to the current missing lateral incisor case.
* Multiple missing teeth outside the upper lateral incisor region that could affect treatment planning.
Primary outcome measure(s)
Diagnostic Accuracy of AI in Orthodontic Treatment Planning for Missing Maxillary Lateral Incisors — Within 6 months from case assessment The percentage agreement between AI-generated treatment decisions (space closure vs. space opening) and the consensus decisions of experienced orthodontists, based on standardized case records including intraoral photographs, cephalometric radiographs, and panoramic radiographs.
Trial sites (1)
Facility
City
Region
Status
Faculty of Oral and Dental Medecine -Cairo University
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
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