Accuracy and feasibility with AI-assisted OCT in retinal disorder community screening

Objective: To evaluate the accuracy and feasibility of the auto-detection of 15 retinal disorders with artificial intelligence (AI)-assisted optical coherence tomography (OCT) in community screening. Methods: A total of 954 eyes of 477 subjects from four local communities were enrolled in this study...

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Detalles Bibliográficos
Autores principales: Bai, Jianhao, Wan, Zhongqi, Li, Ping, Chen, Lei, Wang, Jingcheng, Fan, Yu, Chen, Xinjian, Peng, Qing, Gao, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Cell and Developmental Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9670537/
https://www.ncbi.nlm.nih.gov/pubmed/36407116
http://dx.doi.org/10.3389/fcell.2022.1053483

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9670537/
https://www.ncbi.nlm.nih.gov/pubmed/36407116
http://dx.doi.org/10.3389/fcell.2022.1053483

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