Expert consensus on classification and annotation methods, processes, and quality control for dry eye imaging in artificial intelligence applications (2025)

Dry eye, a common eye disease globally, poses significant challenges to clinical diagnosis and management due to its complex pathogenesis and high incidence rate. The development of artificial intelligence (AI) technology has provided new opportunities for the analysis and auxiliary diagnosis of dry...

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Opis bibliograficzny

Główni autorzy:	Qi Dai, Jin Yuan, Weihua Yang, Zuguo Liu, Jiashu Ji, Wei Chen, Liqiang Wang, Hong Zhang, Xuan Xiao, Ruihua Wei, Shaowei Li, Lingyi Liang, Hua Gao, Zefeng Kang, Yanwu Xu, Yi Shao, Wei Li, Yang Liu, Wei Chi, Ying Cui, Lin Ding, Nuo Dong, Huihui Fang, Yun Feng, Huazhu Fu, Yana Fu, Yunxian Gao, Lan Gong, Ping Guo, Jiaxu Hong, Jianzhang Hu, Shoujun Huang, Xiaodan Huang, Min Ji, Jiewei Jiang, Yiping Jiang, Xiuming Jin, Bilian Ke, Qianqian Lan, Cheng Li, Li Li, Xiaomeng Li, Zhongwen Li, Yingli Li, Thomas LAM Chuen, Jun Liu, Xuan Liao, Chubin Ou, Chao Qu, Zhiguo Qu, Kendrick Co Shih, Liming Tao, Cheng Wan, Hua Wang, Lulu Wang, Meng Wang, Shujun Wang, Xian Wang, Ying Wang, Jimmy TSE Sung Hei, Huatao Xie, Mei Xu, Yingnan Xu, Jinsong Xue, Dongqing Yuan, Yongjin Zhou, Qinxiang Zheng, Xiao Zheng, Xiaofen Zheng, Yalin Zheng, Neeru Amrita Vallabh, Stephen Kaye, Vito Romano, Colin Willoughby
Format:	Artigo
Język:	Inglês
Wydane:	Elsevier 2026-02-01
Seria:	Intelligent Medicine
Hasła przedmiotowe:	Dry eye Artificial intelligence Imaging classification Data annotation Quality control Expert consensus
Dostęp online:	http://www.sciencedirect.com/science/article/pii/S2667102625001378
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