Zobrazeno 1 - 10
of 447
pro vyhledávání: '"glaucoma progression"'
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
Glaucoma is a leading cause of irreversible blindness worldwide, with its pathophysiology remaining inadequately understood. Among the various proposed theories, the vascular theory, suggesting a crucial role of retinal vasculature deterioration in g
Externí odkaz:
https://doaj.org/article/22fb381e06de4b66965c666bc897b47c
Autor:
Jesus D. Melgarejo, Jan Van Eijgen, Dongmei Wei, Gladys E. Maestre, Lama A. Al-Aswad, Chia-Te Liao, Luis J. Mena, Thomas Vanassche, Stefan Janssens, Peter Verhamme, Karel Van Keer, Ingeborg Stalmans, Zhen-Yu Zhang
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 11 (2024)
Externí odkaz:
https://doaj.org/article/4498e000fcd34f6a8a398c5808d0b7e1
Autor:
Nina Lutsenko, Taras Nedilka
Publikováno v:
Journal of Ophthalmology, Iss 1, Pp 3-7 (2024)
Purpose: To examine the impact of short-term intraocular pressure (IOP) fluctuations on the progression of glaucomatous optic neuropathy based on optical coherence tomography (OCT) data. Material and Methods: Totally, 32 patients (62 eyes) with pr
Externí odkaz:
https://doaj.org/article/8e3baba8f51c4efdb22a8ca03aa96335
Autor:
Volodymyr O. Melnyk, Iryna V. Synchuk
Publikováno v:
Клінічна та профілактична медицина, Iss 8, Pp 75-80 (2023)
Introduction: glaucoma is an essential international social and medical problem, as it leads to irreversible blindness in patients worldwide. Organization of treatment and prevention of complications using the most effective methods is the most impor
Externí odkaz:
https://doaj.org/article/3a4b2f38257b42fb8cbb6976f1988574
Autor:
Vahid Mohammadzadeh, MD, Leyan Li, MS, Zhe Fei, PhD, Tyler Davis, MS, Esteban Morales, MS, Kara Wu, BS, Elise Lee Ma, MD, PhD, Abdelmonem Afifi, PhD, Kouros Nouri-Mahdavi, MD, MS, Joseph Caprioli, MD
Publikováno v:
Ophthalmology Science, Vol 4, Iss 2, Pp 100423- (2024)
Purpose: To evaluate and compare the effectiveness of nearest neighbor (NN)- and variational autoencoder (VAE)-smoothing algorithms to reduce variability and enhance the performance of glaucoma visual field (VF) progression models. Design: Longitudin
Externí odkaz:
https://doaj.org/article/5f41e86abdbe4dbf81ca30d9d2b3f2b0
Publikováno v:
Clinical Ophthalmology, Vol Volume 17, Pp 3037-3045 (2023)
Aparna Rao, Rakhi P D’Cruz Glaucoma Service, LV Prasad Eye Institute, MTC Campus, Bhubaneswar, IndiaCorrespondence: Aparna Rao, LV Prasad Eye Institute, MTC Campus, Bhubaneswar, 751024, India, Tel +91 674 398 7999/7201, Fax +91 674 398 7130, Email
Externí odkaz:
https://doaj.org/article/884ff4e2c3354c11810b49c327cca4a7
Publikováno v:
Clinical Ophthalmology, Vol Volume 17, Pp 2413-2422 (2023)
Yutaro Yamagata,1 Kenji Suda,1 Tadamichi Akagi,1,2 Hanako Ohashi Ikeda,1 Takanori Kameda,1 Tomoko Hasegawa,1 Masahiro Miyake,1 Akitaka Tsujikawa1 1Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Kyoto, J
Externí odkaz:
https://doaj.org/article/5fffc6a96e584a779821558aae5b2803
Publikováno v:
Bioengineering, Vol 11, Iss 3, p 250 (2024)
Perimetry and optical coherence tomography (OCT) are both used to monitor glaucoma progression. However, combining these modalities can be a challenge due to differences in data types. To overcome this, we have developed an autoencoder data fusion (A
Externí odkaz:
https://doaj.org/article/578a7cb02a7743e88426c90cbcf1df52
Autor:
Mark Christopher, Ruben Gonzalez, Justin Huynh, Evan Walker, Bharanidharan Radha Saseendrakumar, Christopher Bowd, Akram Belghith, Michael H. Goldbaum, Massimo A. Fazio, Christopher A. Girkin, Carlos Gustavo De Moraes, Jeffrey M. Liebmann, Robert N. Weinreb, Sally L. Baxter, Linda M. Zangwill
Publikováno v:
Bioengineering, Vol 11, Iss 2, p 140 (2024)
A longitudinal ophthalmic dataset was used to investigate multi-modal machine learning (ML) models incorporating patient demographics and history, clinical measurements, optical coherence tomography (OCT), and visual field (VF) testing in predicting
Externí odkaz:
https://doaj.org/article/ef9cf9348a93430385e5e546f924fb7d
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