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.
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Diagnostic Accuracy of AI in Orthodontic Treatment Planning for Missing Maxillary Lateral Incisors
Timeframe: Within 6 months from case assessment