Examination of new clinical dental caries in school children using real intra oral photos with artificial intelligence model YOLO-V8x
Rina Putri Noer Fadilah, Rasmi Rikmasari, Saiful Akbar, Arlette Suzy Setiawan · 2025
Read Examination of new clinical dental caries in school children using real intra oral photos with artificial intelligence model YOLO-V8x by Rina Putri Noer Fadilah, Rasmi Rikmasari, Saiful Akbar, Arlette Suzy Setiawan (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12836958.txt.
Description
Rina Putri Noer Fadilah, Rasmi Rikmasari, Saiful Akbar, and Arlette Suzy Setiawan present a two thousand twenty-five study of an artificial intelligence app spotting tooth decay in schoolchildren's mouth photos. Decay affects most Indonesian schoolchildren, and dentists are scarce. Phone photos plus object-detection models could screen at scale.
Over three thousand labelled intraoral photographs trained and tested a detection model built into an app. Images were graded on a standard decay severity scale. Accuracy was measured with standard detection metrics. The work tests whether automated photo screening can triage children toward the limited dental care available.
Catalog record
| CREATOR | Rina Putri Noer Fadilah, Rasmi Rikmasari, Saiful Akbar, Arlette Suzy Setiawan |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 43 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |