Development and validation of a deep learning model to predict visual and anatomical prognosis of anti-VEGF therapy for neovascular age-related macular degeneration (KongMing Study): a prospective, nationwide, multicentre study

National Natural Science Foundation of China, CAMS Innovation Fund for Medical Sciences, Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences, Lumitin Vision to Brightness Research Funding for the Young and middle-aged Ophthalmologists, Peking Union Medical College Hospital Talent Cultivation Program, Fundamental Research Funds for the Central Universities, Peking Union Medical College, National High-Level Hospital Clinical Research Funding, Beijing Students' Funding for Innovation and Entrepreneurship Training Program, Guangdong Basic and Applied Basic Research Foundation, Guangdong Provincial Key Laboratory.

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Publication Details

Journal
The Lancet Digital Health
Published
2026-03-01
DOI
https://doi.org/10.1016/j.landig.2025.100971
Citations
1
Primary Topic
Retinal Diseases and Treatments
Type
article
Field-Weighted Citation Impact
22.55
Controls
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article

Development and validation of a deep learning model to predict visual and anatomical prognosis of anti-VEGF therapy for neovascular age-related macular degeneration (KongMing Study): a prospective, nationwide, multicentre study

Mu He, Wenming Cao, Xingwang Gu, Shiyu Cheng et al.
1 citations
The Lancet Digital Health
Retinal Diseases and Treatments
22.55
article

Development and validation of a deep learning model to predict visual and anatomical prognosis of anti-VEGF therapy for neovascular age-related macular degeneration (KongMing Study): a prospective, nationwide, multicentre study

Mu He, Wenming Cao, Xingwang Gu, Shiyu Cheng, Jinghong Zhang, Guangfeng Liu, Qianyi Yu, Yonkang Cun, Yingdan Su, Dan Yuan, Zefeng Xiao, Wenfei Zhang, Yuelin Wang, Xinyu Zhao, Qing Zhao, Lin Lv, Zhengming Shi, Qian Sha, Chengshu Wang, Xinyu Liu, Lihui Meng, Xin Cai, Zuyi Yang, Anyu Lai, Zhijun Wang, Bin Sheng, Ying Zeng, Youxin Chen, Chuting Wang, Linna Lu, Minyu Chen, Qi Zeng, Tiantian Cheng, Tianyu Zhang, Zhiqing Li, Yang Wen, Wenbin Wei
article en
1 citations

Abstract

National Natural Science Foundation of China, CAMS Innovation Fund for Medical Sciences, Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences, Lumitin Vision to Brightness Research Funding for the Young and middle-aged Ophthalmologists, Peking Union Medical College Hospital Talent Cultivation Program, Fundamental Research Funds for the Central Universities, Peking Union Medical College, National High-Level Hospital Clinical Research Funding, Beijing Students' Funding for Innovation and Entrepreneurship Training Program, Guangdong Basic and Applied Basic Research Foundation, Guangdong Provincial Key Laboratory.

The Lancet Digital Health
Beijing Tongren Hospital (CN), Sun Yat-sen University (CN), Hunan Normal University (CN), Shenzhen University (CN), Shanghai Jiao Tong University (CN), Capital Medical University (CN), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Peking University (CN), China-Japan Friendship Hospital (CN), Peking Union Medical College Hospital (CN), Shanghai Ninth People's Hospital (CN), Zhangjiakou Academy of Agricultural Sciences (CN), Integrated Chinese Medicine (China) (HK), Dongguan People’s Hospital (CN), Baotou Central Hospital (CN), Pudong Medical Center (CN), Peking University International Hospital (CN), Shaoguan Railway Hospital (CN), The First People's Hospital of Guiyang (CN), Tianjin Medical University Eye Hospital (CN), Hunan Provincial People's Hospital (CN), Shandong Eye Hospital (CN), Third People's Hospital of Yunnan Province (CN), Tianjin Medical University (CN)
Openalex Percentile: Top 0%
Retinal Diseases and Treatments
22.55
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