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Comparative Analysis of 3D Cephalometry Provided with Artificial Intelligence and Manual Tracing
Zurab Khabadze1, Oleg Mordanov1, Ekaterina Shilyaeva1
1Department of Therapeutic Dentistry, Peoples' Friendship University of Russia Named after Patrice Lumumba (RUDN University), 6 Miklukho-Maklaya St., 117198 Moscow, Russia.
Diagnostics (Basel, Switzerland)
|November 27, 2024
Summary
AI-powered 3D cephalometric analysis shows effectiveness comparable to manual methods for orthodontic assessments. This artificial intelligence tool aids in evaluating mandibular growth and skeletal classifications.
Area of Science:
- Dentistry
- Orthodontics
- Medical Imaging
Background:
- 3D cephalometric analysis is crucial in orthodontics for diagnosing and planning treatment.
- Manual cephalometric analysis is time-consuming and relies on specialist interpretation.
Purpose of the Study:
- To compare the accuracy and effectiveness of artificial intelligence (AI)-driven 3D cephalometric analysis against traditional manual methods.
- To evaluate the Diagnocat AI system's performance in orthodontic assessments.
Main Methods:
- Cone-beam computed tomography (CBCT) scans from 30 adult patients were analyzed.
- Manual 3D cephalometric analysis was performed using Invivo 6 software.
- AI-based cephalometric measurements were obtained using the Diagnocat system.
Main Results:
- Statistically significant differences within one standard deviation were observed for SNA, SNB, and the left interincisal angle.
- Differences within two standard deviations were noted for gonial angles and incisor positions.
- No significant differences exceeding two standard deviations were found, indicating high concordance.
Conclusions:
- AI, specifically the Diagnocat system, effectively assesses mandibular growth direction.
- The AI tool accurately defines skeletal class and estimates key parameters like overbite, overjet, and Wits.
- AI offers a reliable alternative for specific 3D cephalometric analyses in orthodontics.
