A deep-learning system for dental plaque quantification from disclosed intraoral photographs, validation against clinical plaque scoring.

de Andrade EF, Felisberto K, Correia RLB, Shibli JA, Hassan MA

Open source

DOI
10.1016/j.jdent.2026.107124
Published
2026 Oct 19
Container
Journal of dentistry
Publisher
Not recorded
Open access
unknown

Credibility signals

limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1016/j.jdent.2026.107124,
  title = {A deep-learning system for dental plaque quantification from disclosed intraoral photographs, validation against clinical plaque scoring.},
  author = {de Andrade EF and Felisberto K and Correia RLB and Shibli JA and Hassan MA},
  year = {2026},
  journal = {Journal of dentistry},
  doi = {10.1016/j.jdent.2026.107124},
  url = {https://doi.org/10.1016/j.jdent.2026.107124}
}

RIS

TY  - JOUR
TI  - A deep-learning system for dental plaque quantification from disclosed intraoral photographs, validation against clinical plaque scoring.
AU  - de Andrade EF
AU  - Felisberto K
AU  - Correia RLB
AU  - Shibli JA
AU  - Hassan MA
PY  - 2026
JO  - Journal of dentistry
DO  - 10.1016/j.jdent.2026.107124
UR  - https://doi.org/10.1016/j.jdent.2026.107124
ER  - 

APA

EF, D. A., K, F., RLB, C., JA, S., & MA, H. (2026). A deep-learning system for dental plaque quantification from disclosed intraoral photographs, validation against clinical plaque scoring.. Journal of dentistry. https://doi.org/10.1016/j.jdent.2026.107124

Source records