Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Aiyin, Chen"'
Publikováno v:
American Journal of Ophthalmology Case Reports, Vol 36, Iss , Pp 102105- (2024)
Purpose: The Hydrus microstent was approved by the FDA in August 2018 for use with cataract surgery to reduce IOP in patients with mild to moderate primary open angle glaucoma (POAG). Pivotal clinical trials demonstrated its overall safety and effica
Externí odkaz:
https://doaj.org/article/a21ed2aa626d42c7bec350011f03cf97
Autor:
Niloofar Radgoudarzi, BS, Shahin Hallaj, MD, Michael V. Boland, MD, PhD, Brian Stagg, MD, Sophia Y. Wang, MD, MS, Benjamin Xu, MD, PhD, Swarup S. Swaminathan, MD, Eric N. Brown, MD, PhD, Aiyin Chen, MD, Catherine Q. Sun, MD, Dilru C. Amarasekera, MD, Jonathan S. Myers, MD, Murtaza Saifee, MD, William Halfpenny, MB BChir, MEng, Keri Dirkes, MPH, Linda Zangwill, PhD, Kerry E. Goetz, PhD, MS, Michelle Hribar, PhD, MS, Sally L. Baxter, MD, MSc
Publikováno v:
Ophthalmology Science, Vol 4, Iss 6, Pp 100621- (2024)
Externí odkaz:
https://doaj.org/article/6dd36fedf8a9498485d34771e7435d81
Autor:
Thomas S. Hwang, MD, Merina Thomas, MD, Michelle Hribar, PhD, Aiyin Chen, MD, Elizabeth White, MS
Publikováno v:
Ophthalmology Science, Vol 4, Iss 1, Pp 100409- (2024)
Objective: To determine the impact of documentation workflow on the accuracy of coded diagnoses in electronic health records (EHRs). Design: Cross-sectional study. Participants: All patients who completed visits at the Casey Eye Institute Retina Divi
Externí odkaz:
https://doaj.org/article/7fe9beda8d5a4194a1b16d2eb83f99ee
Publikováno v:
Bioengineering, Vol 11, Iss 6, p 577 (2024)
Background: Recent advancements in deep learning have significantly impacted ophthalmology, especially in glaucoma, a leading cause of irreversible blindness worldwide. In this study, we developed a reliable predictive model for glaucoma detection us
Externí odkaz:
https://doaj.org/article/61230ef7e9894ad99b72c7e02cb1cdb7
Publikováno v:
American Journal of Ophthalmology Case Reports, Vol 28, Iss , Pp 101711- (2022)
Purpose: To report the distinct pattern of retinal perfusion loss captured on optical coherence tomographic angiography (OCTA) in a case of compressive optic neuropathy associated with pituitary adenoma. Observations: A 51-year-old male had bitempora
Externí odkaz:
https://doaj.org/article/f139997e32244572925d9a5b31b4933a
Autor:
Jimmy S. Chen, MD, Wei-Chun Lin, MD, MS, Joel V. Kaluzny, MD, Aiyin Chen, MD, Michael F. Chiang, MD, Michelle R. Hribar, PhD
Publikováno v:
Ophthalmology Science, Vol 2, Iss 1, Pp 100091- (2022)
Externí odkaz:
https://doaj.org/article/349759a68dff455690acb12d6f32d5bc
Autor:
Thomas S. Hwang, Michael F. Chiang, Andreas K. Lauer, Steven T. Bailey, Yan Li, Ou Tan, David Huang, Aiyin Chen
Publikováno v:
Exp Biol Med (Maywood)
This study was designed to evaluate iVue Spectral-domain optical coherence tomography (SD-OCT) effectiveness in screening for eye disease compared to clinical examination. Subjects were recruited from the Casey Eye Community Outreach Program Mobile C
Autor:
Keke Liu, Ou Tan, Qi Sheng You, Aiyin Chen, Jonathan C. H. Chan, Bonnie N. K. Choy, Kendrick C. Shih, Jasper K. W. Wong, Alex L. K. Ng, Janice J. C. Cheung, Michael Y. Ni, Jimmy S. M. Lai, Gabriel M. Leung, Liang Liu, David Huang, Ian Y. H. Wong
Publikováno v:
Translational vision sciencetechnology. 11(9)
The purpose of this study was to correct refractive error-associated bias in optical coherence tomography (OCT) and OCT angiography (OCTA) glaucoma diagnostic parameters.OCT and OCTA imaging were obtained from participants in the Hong Kong FAMILY coh
Autor:
Liang Liu, Qi Sheng You, Eliesa Ing, Ou Tan, Shaohua Pi, David Huang, Yali Jia, Ping Wei, Aiyin Chen
Publikováno v:
Br J Ophthalmol
PurposeTo assess the effects of algorithms and covariates in glaucoma diagnosis with optical coherence tomography angiography (OCTA).MethodsIn this prospective cross-sectional study, one eye each of 36 normal controls and 64 patients with glaucoma un
Autor:
Wei-Chun, Lin, Jimmy S, Chen, Joel, Kaluzny, Aiyin, Chen, Michael F, Chiang, Michelle R, Hribar
Publikováno v:
AMIA Annu Symp Proc
Accuracy of medication data in electronic health records (EHRs) is crucial for patient care and research, but many studies have shown that medication lists frequently contain errors. In contrast, physicians often pay more attention to the clinical no