Artificial Intelligence for Screening of Multiple Retinal and Optic Nerve Diseases

IMPORTANCE: The lack of experienced ophthalmologists limits the early diagnosis of retinal diseases. Artificial intelligence can be an efficient real-time way for screening retinal diseases. OBJECTIVE: To develop and prospectively validate a deep learning (DL) algorithm that, based on ocular fundus...

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Detalles Bibliográficos
Autores principales: Dong, Li, He, Wanji, Zhang, Ruiheng, Ge, Zongyuan, Wang, Ya Xing, Zhou, Jinqiong, Xu, Jie, Shao, Lei, Wang, Qian, Yan, Yanni, Xie, Ying, Fang, Lijian, Wang, Haiwei, Wang, Yenan, Zhu, Xiaobo, Wang, Jinyuan, Zhang, Chuan, Wang, Heng, Wang, Yining, Chen, Rongtian, Wan, Qianqian, Yang, Jingyan, Zhou, Wenda, Li, Heyan, Yao, Xuan, Yang, Zhiwen, Xiong, Jianhao, Wang, Xin, Huang, Yelin, Chen, Yuzhong, Wang, Zhaohui, Rong, Ce, Gao, Jianxiong, Zhang, Huiliang, Wu, Shouling, Jonas, Jost B., Wei, Wen Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2022
Materias:
Original Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9066285/
https://www.ncbi.nlm.nih.gov/pubmed/35503220
http://dx.doi.org/10.1001/jamanetworkopen.2022.9960

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9066285/
https://www.ncbi.nlm.nih.gov/pubmed/35503220
http://dx.doi.org/10.1001/jamanetworkopen.2022.9960

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