Accuracy of automated analysis in cephalometry
The application of a proper AI-algorithm for orthodontic cephalometric analysis results in lower variability between models than the variability observed among experts. AI predictions supported the examiners in finding the correct location of the specific landmarks more accurately and in less time as the training of the automatic prediction model improved. Further research could investigate the therapeutic consequences.
Authors
- Örkény Zováthi (ORCID: https://orcid.org/0000-0002-8475-4429)
- Noémi Rózsa (ORCID: https://orcid.org/0000-0002-8510-7047)
- Bendegúz H. Zováthi (ORCID: https://orcid.org/0000-0003-4298-635X)
- Réka Bagdy-Bálint (ORCID: https://orcid.org/0000-0001-8057-4554)
- Gergely Szabó (ORCID: https://orcid.org/0009-0002-5700-6051)
- Ábris Somorjai
- Csenge Köpenczei
Institutions
- Semmelweis University (HU)
- Pázmány Péter Catholic University (HU)
- Cegteszt (Hungary) (HU)
Publication Details
- Journal
- Journal of Dental Sciences
- Published
- 2024-10-08
- DOI
- https://doi.org/10.1016/j.jds.2024.09.012
- Citations
- 2
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.99
Funders
- Semmelweis Egyetem