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.

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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
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article

Examination of new clinical dental caries in school children using real intra oral photos with artificial intelligence model YOLO-V8x

Saiful Akbar, Arlétte Suzy Setiawan, Rina Putri Noer Fadilah, Rasmi Rikmasari
BMC Oral Health
Dental Radiography and Imaging
article

Examination of new clinical dental caries in school children using real intra oral photos with artificial intelligence model YOLO-V8x

Saiful Akbar, Arlétte Suzy Setiawan, Rina Putri Noer Fadilah, Rasmi Rikmasari
article en

Abstract

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.

BMC Oral HealthVol. 26(1)
Bandung Institute of Technology (ID), Universitas Jenderal Achmad Yani (ID), Padjadjaran University (ID)
Openalex Percentile: Top 43%
Dental Radiography and Imaging
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