Artificial Intelligence Algorithms to Diagnose Glaucoma and Detect Glaucoma Progression: Translation to Clinical Practice

PURPOSE: This concise review aims to explore the potential for the clinical implementation of artificial intelligence (AI) strategies for detecting glaucoma and monitoring glaucoma progression. METHODS: Nonsystematic literature review using the search combinations “Artificial Intelligence,” “Deep Le...

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Detalles Bibliográficos
Autores principales: Mursch-Edlmayr, Anna S., Ng, Wai Siene, Diniz-Filho, Alberto, Sousa, David C., Arnold, Louis, Schlenker, Matthew B., Duenas-Angeles, Karla, Keane, Pearse A., Crowston, Jonathan G., Jayaram, Hari
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2020
Materias:
Special Issue
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7571273/
https://www.ncbi.nlm.nih.gov/pubmed/33117612
http://dx.doi.org/10.1167/tvst.9.2.55

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7571273/
https://www.ncbi.nlm.nih.gov/pubmed/33117612
http://dx.doi.org/10.1167/tvst.9.2.55

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