Machine learning in keratoconus: severity grading, progression prediction, and surgery outcomes.

Liang J, Zhang Z, Qudsi AI, Liang Q

DOI: 10.3389/fcell.2026.1969175
Published: 2026
Container: Frontiers in cell and developmental biology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fcell.2026.1969175,
  title = {Machine learning in keratoconus: severity grading, progression prediction, and surgery outcomes.},
  author = {Liang J and Zhang Z and Qudsi AI and Liang Q},
  year = {2026},
  journal = {Frontiers in cell and developmental biology},
  doi = {10.3389/fcell.2026.1969175},
  url = {https://doi.org/10.3389/fcell.2026.1969175}
}

RIS

TY  - JOUR
TI  - Machine learning in keratoconus: severity grading, progression prediction, and surgery outcomes.
AU  - Liang J
AU  - Zhang Z
AU  - Qudsi AI
AU  - Liang Q
PY  - 2026
JO  - Frontiers in cell and developmental biology
DO  - 10.3389/fcell.2026.1969175
UR  - https://doi.org/10.3389/fcell.2026.1969175
ER  -

APA

J, L., Z, Z., AI, Q., & Q, L. (2026). Machine learning in keratoconus: severity grading, progression prediction, and surgery outcomes.. Frontiers in cell and developmental biology. https://doi.org/10.3389/fcell.2026.1969175

Source records

pubmed · retrieved 2026-11-10T08:32:32.809Z