Left–Right Consistency and Quantification of Craniofacial Asymmetry by Two Fully Automatic AI-Powered Three-Dimensional Cephalometry Systems on CBCT
Zurab Khabadze, Oleg Mordanov, Ahmad Wehbe · 2026
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Description
Zurab Khabadze, Oleg Mordanov, and Ahmad Wehbe test two fully automatic AI systems that measure jaw and face angles from 3D dental scans. Orthodontists use such measures to plan braces and jaw surgery, yet nobody had checked whether the systems treat left and right sides fairly. Thirty-one scans were read by both systems and by careful hand tracing.
Per-side accuracy held up well: errors landed almost equally on both sides, and one angle matched hand work superbly. The catch came with side differences, the very numbers used to judge facial asymmetry. One system showed no link at all to hand-read jaw asymmetry, and both missed most real cases. Side-difference scores from these tools, the authors warn, cannot yet be trusted alone.
Catalog record
| CREATOR | Zurab Khabadze, Oleg Mordanov, Ahmad Wehbe |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 38334 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |