aceA comparative analysis of artificial intelligence generated 3d facial models from 2D photos: A procrustes-based validation of landmark accuracy in Orthodontics
Objectives: The primary aim of this study was to evaluate the accuracy and precision of a deep learning artificial intelligence (AI) model in reconstructing 3D facial geometry from a single 2D photograph. The study specifically measured the coordinate differences of human-placed facial landmarks on the AI-generated models against those placed on 3D models from a gold-standard scanner (Bellus 3D). Secondary objectives included identifying dimensional variations (X, Y, Z) and systematic biases in the AI reconstruc…
The AI reconstructions showed systematic downward displacement of chin landmarks such as Menton and Pogonion and larger errors at the lateral and inferior face borders, which could affect diagnosis and treatment planning.
The AI models showed systematic biases, particularly a consistent downward shift of landmarks like Menton and Pogonion, and the authors say the algorithm needs further refinement before clinical use.
Evidence
- Peer-reviewedSeminars in Orthodontics2025-10-29
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Truvace Impact Record TRV-2026-1873, v1: “A comparative analysis of artificial intelligence generated 3d facial models from 2D photos: A procrustes-based validation of landmark accuracy in Orthodontics.” Truvace, 2026-10-19. /record/TRV-2026-1873 (accessed at citation time). sha256 e973f45503f876d9…
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