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
Tags
AI agent
congenital cataracts
Bayesian algorithms
deep learning
telehealth
chronic disease management
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