Multicentre Evaluation of AI-Assisted Caries Detection on Panoramic Radiographs Among Early-Career Dentists
Yujia Wu, Xiaowei Hou, Peng Ding, Zineng Xu, Hailong Bai, Yan Liu, Lili Chen, Mingming Xu, Xuliang Deng · 2026
Read Multicentre Evaluation of AI-Assisted Caries Detection on Panoramic Radiographs Among Early-Career Dentists by Yujia Wu, Xiaowei Hou, Peng Ding, Zineng Xu, Hailong Bai, Yan Liu, Lili Chen, Mingming Xu, Xuliang Deng (2026) 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-13579388.txt.
Description
Yujia Wu and eight co-authors test whether AI help makes young dentists better at spotting tooth decay on wide jaw X-rays, in this 2026 study. Panoramic films are routine but easy to misread early in a career. Twelve dentists with at most three years of experience, plus three seniors, read 402 films under four setups.
Readers worked alone, with AI support, and the AI worked alone, all against an expert reference standard. With AI help, tooth level sensitivity rose from about sixty-seven to eighty-two percent, with no loss of specificity. Reading time fell by about fifteen seconds per film, and agreement among readers climbed. The AI alone was also strong. The authors conclude that AI support narrows the experience gap in everyday dental imaging.
Catalog record
| CREATOR | Yujia Wu, Xiaowei Hou, Peng Ding, Zineng Xu, Hailong Bai, Yan Liu, Lili Chen, Mingming Xu, Xuliang Deng |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 34 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |