Zuo Chengguo

Chen Xiaohong, Zhou Chen, Zhu Yingting, Luo Man, Hu Lingjing, Han Wenjing et al.

A deep learning model accurately detected glaucoma in highly myopic eyes from fundus photos (97.7% accuracy), outperforming ophthalmologists and identifying specific diagnostic features, offering significant clinical diagnostic assistance.

Lin Huishan, Gao Xinbo, Wu Zhuoyi, Tam Wengian, Huang Wei, Dong Yue et al.

This 10-year study of hospitalized neovascular glaucoma patients found increasing case numbers and surgical interventions, with cyclodestructive procedures becoming more proportionally common, guiding treatment strategy evolution.

Lin Huishan, Gao Xinbo, Xu Zixing, Zhang Yuxuan, Liao Yunru, Ren Jiawei et al.

This study found an increasing burden of neovascular glaucoma in China, primarily linked to diabetic retinopathy, emphasizing the need for better prevention and early diagnosis of underlying causes.

Wen Yun, Chen Zidong, Zuo Chengguo, Yang Yangfan, Xu Jiangang, Kong Yang et al.

This study found high-pass visual acuity is more sensitive to glaucoma-related visual loss and better correlates with macular damage than conventional VA, suggesting its potential for monitoring glaucoma.

Zuo Chengguo, Gong Ruowen, Chen Weirong, Chen Chuyin, Su Jinai, Wei Kun et al.

This study found most Chinese primary angle-closure disease patients (66.5%) have 0.25-1.25D corneal astigmatism, similar to age-related cataract patients, providing normative data for surgical planning.