Accuracy of AI-based binary classification for detecting malocclusion in the mixed dentition stage
For the detection of malocclusion in mixed dentition, AI-based binary classification models are a promising approach as a screening tool.
Authors
- Sotaro Uemura (ORCID: https://orcid.org/0000-0001-9701-1803)
- Kei Kurita (ORCID: https://orcid.org/0000-0001-8910-8090)
- Yukio Yamamoto (ORCID: https://orcid.org/0000-0002-8530-0701)
- Kengo Oka (ORCID: https://orcid.org/0009-0002-5223-8275)
- Satoru Morishita (ORCID: https://orcid.org/0000-0002-8685-989X)
Institutions
- Lion Corporation (Japan) (JP)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-12-09
- DOI
- https://doi.org/10.1371/journal.pone.0338713
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00