Assessing the reliability of CBCT-based AI-generated STL files in diagnosing osseous changes of the mandibular condyle: a comparative study with ground truth diagnosis.

Kaan OrhanAlex SandersGürkan ÜnsalMatvey EzhovMelis MısırlıMaxim GusarevMurat İçenMamat ShamshievGaye KeserMaria GolitsynaMerve ÖnderDavid ManulisCemal Atakan

Published in: Dento maxillo facial radiology (2023)

AI-generated STL files are reliable in diagnosing bifid condyle formation, osteophyte formation, and flattening of the condyle. However, the diagnosis of osteosclerosis using AI-generated STL files is not reliable, and the accuracy of diagnosis is affected by the erosion grade.

Keyphrases

artificial intelligence
machine learning
magnetic resonance
deep learning
contrast enhanced