Automated landmark detection on lateral photographs using artificial intelligence: diagnostic accuracy compared to expert annotations

This study demonstrates that AI-based landmark detection on lateral photographs can achieve accuracy comparable to expert annotations, demonstrating greater consistency for those landmarks exhibiting high inter-annotator variability.

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Publication Details

Journal
Journal of Orofacial Orthopedics / Fortschritte der Kieferorthopädie
Published
2026-01-23
DOI
https://doi.org/10.1007/s00056-025-00630-w
Primary Topic
Orthodontics and Dentofacial Orthopedics
Type
article
Field-Weighted Citation Impact
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article

Automated landmark detection on lateral photographs using artificial intelligence: diagnostic accuracy compared to expert annotations

Angelika Stellzig‐Eisenhauer, Noah F. Nordblom, Felix Kunz
Journal of Orofacial Orthopedics / Fortschritte der Kieferorthopädie
Orthodontics and Dentofacial Orthopedics
article

Automated landmark detection on lateral photographs using artificial intelligence: diagnostic accuracy compared to expert annotations

Angelika Stellzig‐Eisenhauer, Noah F. Nordblom, Felix Kunz
article en

Abstract

This study demonstrates that AI-based landmark detection on lateral photographs can achieve accuracy comparable to expert annotations, demonstrating greater consistency for those landmarks exhibiting high inter-annotator variability.

Journal of Orofacial Orthopedics / Fortschritte der Kieferorthopädie
Universitätsklinikum Würzburg (DE)
Openalex Percentile: Top 80%
Orthodontics and Dentofacial Orthopedics
DOIOpen Access PDFOpenAlex
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Automated landmark detection on lateral photographs using artificial intelligence: diagnostic accuracy compared to expert annotations — Angelika Stellzig‐Eisenhauer, Noah F. Nordblom, et al. · Journal of Orofacial Orthopedics / Fortschritte der Kieferorthopädie (2026) | TGRS Research Map | TGRS