Artificial intelligence-based grading of human cataracts: A feasibility study.
- DOI
- 10.1371/journal.pone.0355969
- Published
- 2026
- Container
- PloS one
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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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
- pubmed · retrieved 2026-09-25T08:06:24.810Z