Artificial intelligence analysis of oral mucosal lesions in white-light clinical photographs: A systematic review of visual features and validation.

Ardila CM, Vivares-Builes AM, Pineda-Vélez E

DOI: 10.1111/eos.70168
Published: 2026 Nov 9
Container: European journal of oral sciences
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1111/eos.70168,
  title = {Artificial intelligence analysis of oral mucosal lesions in white-light clinical photographs: A systematic review of visual features and validation.},
  author = {Ardila CM and Vivares-Builes AM and Pineda-Vélez E},
  year = {2026},
  journal = {European journal of oral sciences},
  doi = {10.1111/eos.70168},
  url = {https://doi.org/10.1111/eos.70168}
}

RIS

TY  - JOUR
TI  - Artificial intelligence analysis of oral mucosal lesions in white-light clinical photographs: A systematic review of visual features and validation.
AU  - Ardila CM
AU  - Vivares-Builes AM
AU  - Pineda-Vélez E
PY  - 2026
JO  - European journal of oral sciences
DO  - 10.1111/eos.70168
UR  - https://doi.org/10.1111/eos.70168
ER  -

APA

CM, A., AM, V., & E, P. (2026). Artificial intelligence analysis of oral mucosal lesions in white-light clinical photographs: A systematic review of visual features and validation.. European journal of oral sciences. https://doi.org/10.1111/eos.70168

Source records

pubmed · retrieved 2026-11-10T05:14:28.184Z