Prevalence of Fundus Tessellation and Its Screening Based on Artificial Intelligence in Chinese Children: the Nanjing Eye Study

被引:0
|
作者
Dan Huang
Yingxiao Qian
Qi Yan
Saiguang Ling
Zhou Dong
Xin Ke
Haohai Tong
Tengfei Long
Rui Li
Hu Liu
Hui Zhu
机构
[1] The First Affiliated Hospital–Nanjing Medical University,Department of Ophthalmology
[2] EVision Technology (Beijing) Co. Ltd.,Eye Center, The Second Affiliated Hospital
[3] Zhejiang University School of Medicine,Aerospace Information Research Institute
[4] Chinese Academy of Sciences (CAS),undefined
来源
Ophthalmology and Therapy | 2023年 / 12卷
关键词
Fundus tessellation; Fundus tessellated density; Artificial intelligence; School children; Prevalence;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:2671 / 2685
页数:14
相关论文
共 50 条
  • [31] Trends in the Prevalence of Common Retinal and Optic Nerve Diseases in China: An Artificial Intelligence Based National Screening
    Zhang, Ruiheng
    Dong, Li
    Fu, Xuefei
    Hua, Lin
    Zhou, Wenda
    Li, Heyan
    Wu, Haotian
    Yu, Chuyao
    Li, Yitong
    Shi, Xuhan
    Ou, Yangjie
    Zhang, Bing
    Wang, Bin
    Ma, Zhiqiang
    Luo, Yuan
    Yang, Meng
    Chang, Xiangang
    Wang, Zhaohui
    Wei, Wenbin
    [J]. TRANSLATIONAL VISION SCIENCE & TECHNOLOGY, 2024, 13 (04):
  • [32] Application of artificial intelligence system for screening multiple fundus diseases in Chinese primary healthcare settings: a real-world, multicentre and cross-sectional study of 4795 cases
    Gu, Chufeng
    Wang, Yujie
    Jiang, Yan
    Xu, Feiping
    Wang, Shasha
    Liu, Rui
    Yuan, Wen
    Abudureyimu, Nurbiyimu
    Wang, Ying
    Lu, Yulan
    Li, Xiaolong
    Wu, Tao
    Dong, Li
    Chen, Yuzhong
    Wang, Bin
    Zhang, Yuncheng
    Wei, Wen Bin
    Qiu, Qinghua
    Zheng, Zhi
    Liu, Deng
    Chen, Jili
    [J]. BRITISH JOURNAL OF OPHTHALMOLOGY, 2024, 108 (03) : 424 - 431
  • [33] Artificial intelligence enhanced ophthalmological screening in children: insights from a cohort study in Lubelskie Voivodeship
    Regulski Piotr
    Rejdak Robert
    Niezgódka Marek
    Iwański Michał
    [J]. Scientific Reports, 14
  • [34] Artificial intelligence enhanced ophthalmological screening in children: insights from a cohort study in Lubelskie Voivodeship
    Piotr, Regulski
    Robert, Rejdak
    Marek, Niezgodka
    Michal, Iwanski
    [J]. SCIENTIFIC REPORTS, 2024, 14 (01)
  • [35] A systematic review of economic evaluation of artificial intelligence-based screening for eye diseases: From possibility to reality
    Wu, Hongkang
    Jin, Kai
    Yip, Chee Chew
    Koh, Victor
    Ye, Juan
    [J]. SURVEY OF OPHTHALMOLOGY, 2024, 69 (04) : 499 - 507
  • [36] High prevalence of myopia in children and their parents in Hong Kong Chinese Population: the Hong Kong Children Eye Study
    Yam, Jason C.
    Tang, Shu Min
    Kam, Ka Wai
    Chen, Li Jia
    Yu, Marco
    Law, Antony K.
    Yip, Benjamin H.
    Wang, Yu Meng
    Cheung, Carol Y. L.
    Ng, Danny S. C.
    Young, Alvin L.
    Tham, Clement C.
    Pang, Chi Pui
    [J]. ACTA OPHTHALMOLOGICA, 2020, 98 (05) : E639 - E648
  • [37] Cost-effectiveness and cost-utility of community-based blinding fundus diseases screening with artificial intelligence: A modelling study from Shanghai, China
    Lin, Senlin
    Ma, Yingyan
    Li, Liping
    Jiang, Yanwei
    Peng, Yajun
    Yu, Tao
    Qian, Dan
    Xu, Yi
    Lu, Lina
    Chen, Yingyao
    Zou, Haidong
    [J]. Computers in Biology and Medicine, 2024, 183
  • [38] A pilot study of autonomous artificial intelligence-based diabetic retinopathy screening in Poland
    Grzybowski, Andrzej
    Brona, Piotr
    [J]. ACTA OPHTHALMOLOGICA, 2019, 97 (08) : E1149 - E1150
  • [39] Application of artificial intelligence in lung cancer screening: A real-world study in a Chinese physical examination population
    Wu, Jiaxuan
    Li, Ruicen
    Gan, Jiadi
    Zheng, Qian
    Wang, Guoqing
    Tao, Wenjuan
    Yang, Ming
    Li, Wenyu
    Ji, Guiyi
    Li, Weimin
    [J]. THORACIC CANCER, 2024,
  • [40] An artificial intelligence powered study of enlarged facial pore prevalence on one million Chinese from different age groups and its correlation with environmental factors
    Zhou, Huanjun
    Xie, Hang
    Wu, Liang
    Song, Jinyan
    Ma, Zitao
    Zeng, Danning
    Wang, Xiaodi
    Shi, Su
    Qu, Yulan
    Luo, Yajun
    Meng, Xia
    Niu, Yue
    Kan, Haidong
    Cao, Jian
    Pernodet, Nadine
    [J]. SKIN RESEARCH AND TECHNOLOGY, 2024, 30 (09)