Patient selection for corneal topographic evaluation of keratoconus: A screening approach using artificial intelligence

Patient selection for corneal topographic evaluation of keratoconus: A screening approach using artificial intelligence

BackgroundCorneal topography is a clinically validated examination method for keratoconus. However, there is no clear guideline regarding patient selection for corneal topography. We developed and validated a novel artificial intelligence (AI) model to identify patients who would benefit from cornea...

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Bibliographic Details
Main Authors: Hyunmin Ahn, Na Eun Kim, Jae Lim Chung, Young Jun Kim, Ikhyun Jun, Tae-im Kim, Kyoung Yul Seo
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-08-01
Series:Frontiers in Medicine
Subjects:
artificial intelligence
corneal topography
keratoconus
machine learning
Pentacam
screening test
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2022.934865/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2022.934865/full

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