Liu Yong

Chen Yanni, Wu Nan, Meng Xiaohong, Long Yanling, Ren Jiayun, Wang Yu et al.

This study found the MLMT has limited range in advanced Bietti crystalline dystrophy. Preserved central macular structure, not just visual acuity, drives mobility, suggesting MLMT adaptation and structural endpoints are needed for BCD trials.

Liu Yong, Gong Di, Dang Kuanrong, Guo Junhong, Yan Zhichao, Shen Xiaoli et al.

This meta-analysis found next-generation sequencing identified genetic causes in 26.2% of primary glaucoma cases, with subtype-specific strategies (e.g., WES for PCG, panel for PACG) proving most effective for diagnosis.

Gong Di, Liu Yong, Dang Kuanrong, Huang Yijia, Deng Simin, Guo Junhong et al.

This study developed machine learning models to predict postoperative hyperopic shift in PACG patients after cataract surgery, finding SVM and LR models can help guide individualized surgical decisions.

Soh Zhi Da, Tan Mingrui, Nongpiur Monisha Esther, Xu Benjamin Yixing, Friedman David, Zhang Xiulan et al.

This review found AI, especially deep learning on images, shows promise for better detecting and assessing angle closure glaucoma, improving clinical management.

Liu Yuanyuan, Yao Baoqun, Chen Xi, Yang Xueli, Liu Yong, Xie Zhenggao et al.

Rural China has a high glaucoma prevalence (1.7%), predominantly primary angle-closure, with age, smoking, and stroke as risk factors. This necessitates integrating glaucoma into chronic disease management programs.