Medicine and Health

Artificial intelligence manages congenital cataract with individualized prediction and telehealth computing

E. Long, J. Chen, et al.

Introducing CC-Guardian, an innovative AI agent revolutionizing the management of congenital cataracts. Utilizing cutting-edge Bayesian and deep-learning algorithms, this tool not only personalizes predictions and scheduling but also enhances follow-up care through intelligent telehealth integration. Developed by Erping Long, Jingjing Chen, and their colleagues, CC-Guardian significantly improves complication detection and reduces socio-economic burdens compared to traditional methods.

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Abstract

This paper presents CC-Guardian, an AI agent for managing congenital cataracts. Using Bayesian and deep-learning algorithms, CC-Guardian integrates individualized prediction and scheduling with intelligent telehealth follow-up. The agent demonstrates high accuracy in internal and multi-resource validation. Integrated with a smartphone app and cloud platform, CC-Guardian improves early complication detection, reduces socioeconomic burdens compared to conventional methods, and offers a novel strategy for chronic disease management.

Publisher

npj Digital Medicine

Published On

Aug 28, 2020

Authors

Erping Long, Jingjing Chen, Xiaohong Wu, Zhenzhen Liu, Liming Wang, Jiewei Jiang, Wangting Li, Yi Zhu, Chuan Chen, Zhuoliu Lin, Jin Li, Xiaoyan Li, Hui Chen, Chong Guo, Lankin Zhao, Daoyao Nie, Xinhua Liu, Xin Liu, Zhe Dong, Bo Yun, Wenbin Wei, Fan Xu, Jian Lv, Min Li, Shiqi Ling, Lei Zhong, Junhong Zheng, Qishan Zheng, Yi Xiang, Gang Tan, Kai Huang, Yifan Xiang, Duoru Lin, Xulin Zhang, Meimei Dong, Dongni Wang, Weirong Chen, Xiyang Liu, Haotian Lin, Yizhi Liu

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