Examination of new clinical dental caries in school children using real intra oral photos with artificial intelligence model YOLO-V8x
The YOLOv8x model in the HI Bogi app demonstrated diagnostic performance equal to dentists and a drastically shortened examination time, validating its use in school-based dental health programs. But class-specific precision variation suggests further refinement is needed. Further studies ought to increase datasets and characterize advanced architecture, such as transformer-based architecture, to achieve higher specificity and detection rates in rare lesion categories.
Authors
- Saiful Akbar (ORCID: https://orcid.org/0000-0001-9314-5310)
- Arlétte Suzy Setiawan (ORCID: https://orcid.org/0000-0001-5005-8081)
- Rina Putri Noer Fadilah
- Rasmi Rikmasari
Institutions
- Bandung Institute of Technology (ID)
- Universitas Jenderal Achmad Yani (ID)
- Padjadjaran University (ID)
Publication Details
- Journal
- BMC Oral Health
- Published
- 2025-12-20
- DOI
- https://doi.org/10.1186/s12903-025-07486-x
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00