Diagnostic Efficacy and Therapeutic Decision-making Capacity of an Artificial Intelligence Platform for Childhood Cataracts in Eye Clinics: A Multicentre Randomized Controlled Trial

BACKGROUND: CC-Cruiser is an artificial intelligence (AI) platform developed for diagnosing childhood cataracts and providing risk stratification and treatment recommendations. The high accuracy of CC-Cruiser was previously validated using specific datasets. The objective of this study was to compar...

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Detalles Bibliográficos
Autores principales: Lin, Haotian, Li, Ruiyang, Liu, Zhenzhen, Chen, Jingjing, Yang, Yahan, Chen, Hui, Lin, Zhuoling, Lai, Weiyi, Long, Erping, Wu, Xiaohang, Lin, Duoru, Zhu, Yi, Chen, Chuan, Wu, Dongxuan, Yu, Tongyong, Cao, Qianzhong, Li, Xiaoyan, Li, Jing, Li, Wangting, Wang, Jinghui, Yang, Mingmin, Hu, Huiling, Zhang, Li, Yu, Yang, Chen, Xuelan, Hu, Jianmin, Zhu, Ke, Jiang, Shuhong, Huang, Yalin, Tan, Gang, Huang, Jialing, Lin, Xiaoming, Zhang, Xinyu, Luo, Lixia, Liu, Yuhua, Liu, Xialin, Cheng, Bing, Zheng, Danying, Wu, Mingxing, Chen, Weirong, Liu, Yizhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6510889/
https://www.ncbi.nlm.nih.gov/pubmed/31143882
http://dx.doi.org/10.1016/j.eclinm.2019.03.001

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6510889/
https://www.ncbi.nlm.nih.gov/pubmed/31143882
http://dx.doi.org/10.1016/j.eclinm.2019.03.001

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