Artificial intelligence-based grading of human cataracts: A feasibility study.

Latz C, Rothen F, Licht A, Ponto KA, Mirshahi A

Open source

DOI
10.1371/journal.pone.0355969
Published
2026
Container
PloS one
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 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:10.1371/journal.pone.0355969,
  title = {Artificial intelligence-based grading of human cataracts: A feasibility study.},
  author = {Latz C and Rothen F and Licht A and Ponto KA and Mirshahi A},
  year = {2026},
  journal = {PloS one},
  doi = {10.1371/journal.pone.0355969},
  url = {https://doi.org/10.1371/journal.pone.0355969}
}

RIS

TY  - JOUR
TI  - Artificial intelligence-based grading of human cataracts: A feasibility study.
AU  - Latz C
AU  - Rothen F
AU  - Licht A
AU  - Ponto KA
AU  - Mirshahi A
PY  - 2026
JO  - PloS one
DO  - 10.1371/journal.pone.0355969
UR  - https://doi.org/10.1371/journal.pone.0355969
ER  - 

APA

C, L., F, R., A, L., KA, P., & A, M. (2026). Artificial intelligence-based grading of human cataracts: A feasibility study.. PloS one. https://doi.org/10.1371/journal.pone.0355969

Source records