Validating the Generalizability of Ophthalmic Artificial Intelligence Models on Real-World Clinical Data

PURPOSE: This study aims to investigate generalizability of deep learning (DL) models trained on commonly used public fundus images to an instance of real-world data (RWD) for glaucoma diagnosis. METHODS: We used Illinois Eye and Ear Infirmary fundus data set as an instance of RWD in addition to six...

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Detalles Bibliográficos
Autores principales: Rashidisabet, Homa, Sethi, Abhishek, Jindarak, Ponpawee, Edmonds, James, Chan, R. V. Paul, Leiderman, Yannek I., Vajaranant, Thasarat Sutabutr, Yi, Darvin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2023
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10629532/
https://www.ncbi.nlm.nih.gov/pubmed/37922149
http://dx.doi.org/10.1167/tvst.12.11.8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10629532/
https://www.ncbi.nlm.nih.gov/pubmed/37922149
http://dx.doi.org/10.1167/tvst.12.11.8

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