Zobrazeno 1 - 10
of 59
pro vyhledávání: '"David, Squirrell"'
Autor:
Songyang An, David Squirrell
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Recent advancements in artificial intelligence (AI) have prompted researchers to expand into the field of oculomics; the association between the retina and systemic health. Unlike conventional AI models trained on well-recognized retinal fea
Externí odkaz:
https://doaj.org/article/efa3f44dae414ae092a7f566a18e8d39
Publikováno v:
BMC Ophthalmology, Vol 22, Iss 1, Pp 1-11 (2022)
Abstract Background A 3-year single-centre, retrospective, comparative, non-randomized cohort study to describe the long-term outcomes of treatment-naïve, Caucasian and non-Caucasian eyes with polypoidal choroidal vasculopathy (PCV) after treatment
Externí odkaz:
https://doaj.org/article/73bfc61a99594258a4b6f9aed1046b0e
Publikováno v:
PLoS ONE, Vol 18, Iss 11, p e0295073 (2023)
Deep learning (DL) models have shown promise in detecting chronic kidney disease (CKD) from fundus photographs. However, previous studies have utilized a serum creatinine-only estimated glomerular rate (eGFR) equation to measure kidney function despi
Externí odkaz:
https://doaj.org/article/0405b3bae528496da29b90b270a2497a
Autor:
Pushkar Raj Silwal, Arier C Lee, David Squirrell, Jinfeng Zhao, Matire Harwood, Andrea L Vincent, Rinki Murphy, Shanthi Ameratunga, Jacqueline Ramke
Publikováno v:
PLoS ONE, Vol 18, Iss 5, p e0285904 (2023)
ObjectiveTo assess diabetes eye service use in New Zealand among people aged ≥15 years by estimating service attendance, biennial screening rate, and disparities in the use of screening and treatment services.MethodsWe obtained Ministry of Health d
Externí odkaz:
https://doaj.org/article/7bbdc4fe5dae4933971325cdbde14b40
Publikováno v:
Clinical Ophthalmology. 17:455-469
Li Xie,1 Ehsan Vaghefi,1,2 Song Yang,1 David Han,1,2 John Marshall,3 David Squirrell1,4 1Toku Eyes Limited, Auckland, New Zealand; 2School of Optometry and Vision Science, The University of Auckland, Auckland, New Zealand; 3Institute of Ophthalmology
Publikováno v:
PLoS ONE, Vol 15, Iss 4, p e0225015 (2020)
Convolutional Neural Networks (CNNs) have become a prominent method of AI implementation in medical classification tasks. Grading Diabetic Retinopathy (DR) has been at the forefront of the development of AI for ophthalmology. However, major obstacles
Externí odkaz:
https://doaj.org/article/27d5b8c3928f46318cb731a4056130c4
Publikováno v:
Journal of Ophthalmology, Vol 2020 (2020)
Background and Objective. To determine if using a multi-input deep learning approach in the image analysis of optical coherence tomography (OCT), OCT angiography (OCT-A), and colour fundus photographs increases the accuracy of a CNN to diagnose inter
Externí odkaz:
https://doaj.org/article/d00283bdf4424bafa68210e4b35701de
Publikováno v:
Journal of Ophthalmology, Vol 2020 (2020)
This systematic review was performed to identify the specifics of an optimal diabetic retinopathy deep learning algorithm, by identifying the best exemplar research studies of the field, whilst highlighting potential barriers to clinical implementati
Externí odkaz:
https://doaj.org/article/d70d82b9f91e4e6ea973a5cb5e020f0b
Publikováno v:
Case Reports in Ophthalmology, Vol 8, Iss 3, Pp 545-557 (2017)
Purpose: Here, we have tried to quantify the chorioretinal blood perfusion in patients who are clinically identified to be suffering from retinal ischemia using arterial spin labelling (ASL) MRI. Method: Four participants, diagnosed with retinal isch
Externí odkaz:
https://doaj.org/article/283a1ad01e6647dbb531d461517ee9a7
Autor:
Ehsan Vaghefi, Song Yang, Li Xie, David Han, Aaron Yap, Ole Schmeidel, John Marshall, David Squirrell
Publikováno v:
Eye. 37:1683-1689
Purpose To validate the potential application of THEIA™ as clinical decision making assistant in a national screening program. Methods A total of 900 patients were recruited from either an urban large eye hospital, or a semi-rural optometrist led s