Artificial intelligence manages congenital cataract with individualized prediction and telehealth computing

Abstract 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...

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Auteurs principaux:	Erping Long, Jingjing Chen, Xiaohang Wu, Zhenzhen Liu, Liming Wang, Jiewei Jiang, Wangting Li, Yi Zhu, Chuan Chen, Zhuoling Lin, Jing Li, Xiaoyan Li, Hui Chen, Chong Guo, Lanqin Zhao, Daoyao Nie, Xinhua Liu, Xin Liu, Zhe Dong, Bo Yun, Wenbin Wei, Fan Xu, Jian Lv, Min Li, Shiqi Ling, Lei Zhong, Junhong Chen, Qishan Zheng, Li Zhang, Yi Xiang, Gang Tan, Kai Huang, Yifan Xiang, Duoru Lin, Xulin Zhang, Meimei Dongye, Dongni Wang, Weirong Chen, Xiyang Liu, Haotian Lin, Yizhi Liu
Format:	article
Langue:	EN
Publié:	Nature Portfolio 2020
Sujets:	Computer applications to medicine. Medical informatics R858-859.7
Accès en ligne:	https://doaj.org/article/737f5b0004e146a7bec22cf2d79b21a2
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Artificial intelligence manages congenital cataract with individualized prediction and telehealth computing

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