The potential role of artificial intelligence in the diagnosis of Acanthamoeba keratitis—a scoping review

Thomas N. Valsamidis, Kjeld M. Mohr, Jesper Ø. Hjortdal

Open source

DOI: 10.1016/j.clae.2026.102661
Published: 2026-06
Container: Contact Lens and Anterior Eye
Publisher: Elsevier BV
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.clae.2026.102661,
  title = {The potential role of artificial intelligence in the diagnosis of Acanthamoeba keratitis—a scoping review},
  author = {Thomas N. Valsamidis and Kjeld M. Mohr and Jesper Ø. Hjortdal},
  year = {2026},
  journal = {Contact Lens and Anterior Eye},
  doi = {10.1016/j.clae.2026.102661},
  url = {https://doi.org/10.1016/j.clae.2026.102661}
}

RIS

TY  - JOUR
TI  - The potential role of artificial intelligence in the diagnosis of Acanthamoeba keratitis—a scoping review
AU  - Thomas N. Valsamidis
AU  - Kjeld M. Mohr
AU  - Jesper Ø. Hjortdal
PY  - 2026
JO  - Contact Lens and Anterior Eye
DO  - 10.1016/j.clae.2026.102661
UR  - https://doi.org/10.1016/j.clae.2026.102661
ER  -

APA

Valsamidis, T. N., Mohr, K. M., & Hjortdal, J. Ø. (2026). The potential role of artificial intelligence in the diagnosis of Acanthamoeba keratitis—a scoping review. Contact Lens and Anterior Eye. https://doi.org/10.1016/j.clae.2026.102661

Source records

crossref · retrieved 2026-09-25T20:05:39.679Z