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Machine Learning Algorithms to Detect Subclinical Keratoconus: Systematic Review.
JMIR Med Inform. 2021 Dec 13;9(12):e27363. doi: 10.2196/27363.
JMIR Med Inform. 2021.
PMID: 34898463
Free PMC article.
Review.
Personalized Model to Predict Keratoconus Progression From Demographic, Topographic, and Genetic Data.
Maile HP, Li JO, Fortune MD, Royston P, Leucci MT, Moghul I, Szabo A, Balaskas K, Allan BD, Hardcastle AJ, Hysi P, Pontikos N, Tuft SJ, Gore DM.
Maile HP, et al.
Am J Ophthalmol. 2022 Aug;240:321-329. doi: 10.1016/j.ajo.2022.04.004. Epub 2022 Apr 23.
Am J Ophthalmol. 2022.
PMID: 35469790
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A comparison of keratoconus progression following collagen cross-linkage using standard or personalised keratometry thresholds.
Li JO, Maile HP, Bunce C, Kandakji L, Leucci MT, Allan BD, Tuft SJ, Pontikos N, Gore DM.
Li JO, et al. Among authors: maile hp.
Eye (Lond). 2024 Feb 26. doi: 10.1038/s41433-024-02994-6. Online ahead of print.
Eye (Lond). 2024.
PMID: 38409307
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Reply to Comment on: Personalized model to predict keratoconus progression from demographic, topographic and genetic data.
Maile HP, Li JO, Pontikos N, Gore DM, Tuft SJ.
Maile HP, et al.
Am J Ophthalmol. 2023 May;249:193. doi: 10.1016/j.ajo.2022.11.006. Epub 2022 Nov 12.
Am J Ophthalmol. 2023.
PMID: 36379322
No abstract available.
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