Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Ya Xing Wang, MD"'
Publikováno v:
Ophthalmology Science, Vol 4, Iss 6, Pp 100575- (2024)
Purpose: To explore prevalence and associated factors of abnormalities of the posterior eye shape in dependence of axial length. Design: Population-based study. Participants: Of the participants (n = 3468) of the Beijing Eye Study, we included all ey
Externí odkaz:
https://doaj.org/article/66710788207346abb2b9a584e3d32841
Autor:
Tien-En Tan, FRCOphth, Ayesha Anees, MSc, Cheng Chen, MSc, Shaohua Li, PhD, Xinxing Xu, PhD, Zengxiang Li, PhD, Zhe Xiao, PhD, Yechao Yang, BSc, Xiaofeng Lei, MSc, Marcus Ang, FRCS (Ed), Audrey Chia, FRANZCO, Shu Yen Lee, FRCS (Ed), Edmund Yick Mun Wong, FRCS (Ed), Ian Yew San Yeo, ProfFRCS (Ed), Yee Ling Wong, PhD, Quan V Hoang, MD, Ya Xing Wang, MD, Mukharram M Bikbov, MD, Vinay Nangia, MD, Jost B Jonas, ProfMD, Yen-Po Chen, MD, Wei-Chi Wu, ProfMD, Kyoko Ohno-Matsui, ProfMD, Tyler Hyungtaek Rim, MD, Yih-Chung Tham, PhD, Rick Siow Mong Goh, PhD, Haotian Lin, ProfMD, Hanruo Liu, MD, Ningli Wang, ProfMD, Weihong Yu, ProfMD, Donald Tiang Hwee Tan, ProfFRCS (Ed), Leopold Schmetterer, ProfPhD, Ching-Yu Cheng, ProfMD, Youxin Chen, ProfMD, Chee Wai Wong, MBBS, Gemmy Chui Ming Cheung, ProfFRCOphth, Seang-Mei Saw, ProfPhD, Tien Yin Wong, ProfMD, Yong Liu, PhD, Daniel Shu Wei Ting, MD
Publikováno v:
The Lancet: Digital Health, Vol 3, Iss 5, Pp e317-e329 (2021)
Summary: Background: By 2050, almost 5 billion people globally are projected to have myopia, of whom 20% are likely to have high myopia with clinically significant risk of sight-threatening complications such as myopic macular degeneration. These are
Externí odkaz:
https://doaj.org/article/7d027a4f3e5c45e0ac72665e314891ef
Autor:
Tyler Hyungtaek Rim, MD, Geunyoung Lee, BS, Youngnam Kim, MSc, Yih-Chung Tham, PhD, Chan Joo Lee, MD, Su Jung Baik, MD, Young Ah Kim, PhD, Marco Yu, PhD, Mihir Deshmukh, MSc, Byoung Kwon Lee, ProfMD, Sungha Park, ProfMD, Hyeon Chang Kim, ProfMD, Charumathi Sabayanagam, PhD, Daniel S W Ting, MD, Ya Xing Wang, MD, Jost B Jonas, ProfMD, Sung Soo Kim, MD, Tien Yin Wong, ProfMD, Ching-Yu Cheng, ProfMD
Publikováno v:
The Lancet: Digital Health, Vol 2, Iss 10, Pp e526-e536 (2020)
Summary: Background: The application of deep learning to retinal photographs has yielded promising results in predicting age, sex, blood pressure, and haematological parameters. However, the broader applicability of retinal photograph-based deep lear
Externí odkaz:
https://doaj.org/article/b5f8cad42eb84d65bf1b2323da861029