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Eye (London, England)
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October 31, 2020
A virtual-clinic pathway for patients referred from a national diabetes eye screening programme reduces service demands whilst maintaining quality of care
Livia Faes, Dun Jack Fu, Josef Huemer, et al.
Ophthalmology Science
|
February 20, 2026
Visual Field Estimation in X-Linked Retinitis Pigmentosa Associated with Retinitis Pigmentosa GTPase Regulator (<i>RPGR</i>) from Image Analysis Using Artificial Intelligence
Malena Daich Varela, William Woof, Yathusha Kumarasamy, et al.
BMJ Open
|
June 24, 2019
One- and two-year visual outcomes from the Moorfields age-related macular degeneration database: a retrospective cohort study and an open science resource
Katrin Fasler, Gabriella Moraes, Siegfried Wagner, et al.
The British Journal of Ophthalmology
|
October 16, 2019
Moorfields AMD database report 2: fellow eye involvement with neovascular age-related macular degeneration
Katrin Fasler, Dun Jack Fu, Gabriella Moraes, et al.
JAMA Ophthalmology
|
November 19, 2020
Insights From Survival Analyses During 12 Years of Anti-Vascular Endothelial Growth Factor Therapy for Neovascular Age-Related Macular Degeneration
Dun Jack Fu, Tiarnan D Keenan, Livia Faes, et al.
Ophthalmology
|
September 27, 2020
Quantitative Analysis of OCT for Neovascular Age-Related Macular Degeneration Using Deep Learning
Gabriella Moraes, Dun Jack Fu, Marc Wilson, et al.
JAMA Ophthalmology
|
May 9, 2024
Pegcetacoplan Treatment and Consensus Features of Geographic Atrophy Over 24 Months
Dun Jack Fu, Pallavi Bagga, Gunjan Naik, et al.
The Lancet. Digital Health
|
December 16, 2020
Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study
Livia Faes, Siegfried K Wagner, Dun Jack Fu, et al.
The Lancet. Digital Health
|
December 16, 2020
A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis
Xiaoxuan Liu, Livia Faes, Aditya U Kale, et al.
JAMA Ophthalmology
|
December 16, 2021
Enablers and Barriers to Deployment of Smartphone-Based Home Vision Monitoring in Clinical Practice Settings
Edward Korot, Nikolas Pontikos, Faye M Drawnel, et al.
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Search research articles
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Showing results (41-50 of 57) with videos related to
Sort By:
Page
of 6
Eye (London, England)
|
October 31, 2020
A virtual-clinic pathway for patients referred from a national diabetes eye screening programme reduces service demands whilst maintaining quality of care
Livia Faes, Dun Jack Fu, Josef Huemer, et al.
Ophthalmology Science
|
February 20, 2026
Visual Field Estimation in X-Linked Retinitis Pigmentosa Associated with Retinitis Pigmentosa GTPase Regulator (<i>RPGR</i>) from Image Analysis Using Artificial Intelligence
Malena Daich Varela, William Woof, Yathusha Kumarasamy, et al.
BMJ Open
|
June 24, 2019
One- and two-year visual outcomes from the Moorfields age-related macular degeneration database: a retrospective cohort study and an open science resource
Katrin Fasler, Gabriella Moraes, Siegfried Wagner, et al.
The British Journal of Ophthalmology
|
October 16, 2019
Moorfields AMD database report 2: fellow eye involvement with neovascular age-related macular degeneration
Katrin Fasler, Dun Jack Fu, Gabriella Moraes, et al.
JAMA Ophthalmology
|
November 19, 2020
Insights From Survival Analyses During 12 Years of Anti-Vascular Endothelial Growth Factor Therapy for Neovascular Age-Related Macular Degeneration
Dun Jack Fu, Tiarnan D Keenan, Livia Faes, et al.
Ophthalmology
|
September 27, 2020
Quantitative Analysis of OCT for Neovascular Age-Related Macular Degeneration Using Deep Learning
Gabriella Moraes, Dun Jack Fu, Marc Wilson, et al.
JAMA Ophthalmology
|
May 9, 2024
Pegcetacoplan Treatment and Consensus Features of Geographic Atrophy Over 24 Months
Dun Jack Fu, Pallavi Bagga, Gunjan Naik, et al.
The Lancet. Digital Health
|
December 16, 2020
Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study
Livia Faes, Siegfried K Wagner, Dun Jack Fu, et al.
The Lancet. Digital Health
|
December 16, 2020
A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis
Xiaoxuan Liu, Livia Faes, Aditya U Kale, et al.
JAMA Ophthalmology
|
December 16, 2021
Enablers and Barriers to Deployment of Smartphone-Based Home Vision Monitoring in Clinical Practice Settings
Edward Korot, Nikolas Pontikos, Faye M Drawnel, et al.
Page
of 6