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Current and Future Implications of Using Artificial Intelligence in Glaucoma Care.

作者信息

Ahuja Abhimanyu S, Bommakanti Sarvika, Wagner Isabella, Dorairaj Syril, Ten Hulzen Richard D, Checo Leticia

机构信息

Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, Florida, USA.

Department of Ophthalmology, Mayo Clinic Florida, Jacksonville, Florida, USA.

出版信息

J Curr Ophthalmol. 2022 Jul 26;34(2):129-132. doi: 10.4103/joco.joco_39_22. eCollection 2022 Apr-Jun.

Abstract
摘要

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本文引用的文献

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Emerging Ethical Considerations for the Use of Artificial Intelligence in Ophthalmology.
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Development and clinical deployment of a smartphone-based visual field deep learning system for glaucoma detection.
NPJ Digit Med. 2020 Sep 22;3:123. doi: 10.1038/s41746-020-00329-9. eCollection 2020.
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A Review of Deep Learning for Screening, Diagnosis, and Detection of Glaucoma Progression.
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Artificial Intelligence in Ophthalmology in 2020: A Technology on the Cusp for Translation and Implementation.
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A feature agnostic approach for glaucoma detection in OCT volumes.
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