This study compares the accuracy and reliability of artificial intelligence (AI) software for analyzing dental X-rays to the traditional manual tracing method used by dentists. Lateral cephalometric radiographs are special X-rays of the head used in orthodontics (teeth straightening) to measure jawbone positions, tooth angles, and facial proportions. Traditionally, orthodontists manually trace these X-rays using pencil and paper to identify key landmarks and make measurements. This manual method is time-consuming and can vary between different practitioners or even when the same practitioner measures twice. AI-based software can automatically identify these landmarks and perform measurements instantly. This study examined 40 dental X-rays to determine if the AI software (WeDoCeph) is as accurate and more reliable than manual tracing. Each X-ray was measured twice - once manually by a trained examiner and once by AI software - at two different times (4 weeks apart). The researchers compared 15 different measurements, including 8 angles and 7 distances, to assess accuracy and reliability.
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Intraclass Correlation Coefficient (ICC) for repeated manual measurements
Timeframe: Baseline (T₀) and 4 weeks later (T₁)
Intraclass Correlation Coefficient (ICC) for repeated AI measurements
Timeframe: Baseline (T₀) and 4 weeks later (T₁)
Mean differences between manual and AI-based measurements at T₀
Timeframe: Baseline (T₀)
Mean differences between manual and AI-based measurements at T₁
Timeframe: 4 weeks