A Multicenter Clinical Study of the Automated Fundus Screening Algorithm

PURPOSE: To evaluate the effectiveness of automated fundus screening software in detecting eye diseases by comparing the reported results against those given by human experts. RESULTS: There were 1585 subjects who completed the procedure and yielded qualified images. The prevalence of referable diab...

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Detalles Bibliográficos
Autores principales: Li, Fei, Pan, Jianying, Yang, Dalu, Wu, Junde, Ou, Yiling, Li, Huiting, Huang, Jiamin, Xie, Huirui, Ou, Dongmei, Wu, Xiaoyi, Wu, Binghong, Sun, Qinpei, Fang, Huihui, Yang, Yehui, Xu, Yanwu, Luo, Yan, Zhang, Xiulan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2022
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9339691/
https://www.ncbi.nlm.nih.gov/pubmed/35881410
http://dx.doi.org/10.1167/tvst.11.7.22

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9339691/
https://www.ncbi.nlm.nih.gov/pubmed/35881410
http://dx.doi.org/10.1167/tvst.11.7.22

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