Artificial intelligence manages congenital cataract with individualized prediction and telehealth computing

A challenge of chronic diseases that remains to be solved is how to liberate patients and medical resources from the burdens of long-term monitoring and periodic visits. Precise management based on artificial intelligence (AI) holds great promise; however, a clinical application that fully integrate...

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Detalles Bibliográficos
Autores principales: Long, Erping, Chen, Jingjing, Wu, Xiaohang, Liu, Zhenzhen, Wang, Liming, Jiang, Jiewei, Li, Wangting, Zhu, Yi, Chen, Chuan, Lin, Zhuoling, Li, Jing, Li, Xiaoyan, Chen, Hui, Guo, Chong, Zhao, Lanqin, Nie, Daoyao, Liu, Xinhua, Liu, Xin, Dong, Zhe, Yun, Bo, Wei, Wenbin, Xu, Fan, Lv, Jian, Li, Min, Ling, Shiqi, Zhong, Lei, Chen, Junhong, Zheng, Qishan, Zhang, Li, Xiang, Yi, Tan, Gang, Huang, Kai, Xiang, Yifan, Lin, Duoru, Zhang, Xulin, Dongye, Meimei, Wang, Dongni, Chen, Weirong, Liu, Xiyang, Lin, Haotian, Liu, Yizhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7455726/
https://www.ncbi.nlm.nih.gov/pubmed/32904507
http://dx.doi.org/10.1038/s41746-020-00319-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7455726/
https://www.ncbi.nlm.nih.gov/pubmed/32904507
http://dx.doi.org/10.1038/s41746-020-00319-x

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