Artificial Intelligence for the Estimation of Visual Acuity Using Multi-Source Anterior Segment Optical Coherence Tomographic Images in Senile Cataract

Artificial Intelligence for the Estimation of Visual Acuity Using Multi-Source Anterior Segment Optical Coherence Tomographic Images in Senile Cataract

PurposeTo investigate an artificial intelligence (AI) model performance using multi-source anterior segment optical coherence tomographic (OCT) images in estimating the preoperative best-corrected visual acuity (BCVA) in patients with senile cataract.DesignRetrospective, cross-instrument validation...

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Bibliographic Details
Main Authors: Hyunmin Ahn, Ikhyun Jun, Kyoung Yul Seo, Eung Kweon Kim, Tae-im Kim
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Medicine
Subjects:
artificial intelligence
cataract
convolutional neural network
optical coherence tomography
visual acuity
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2022.871382/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2022.871382/full

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