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JAMA Ophthalmology
|
January 27, 2018
Prevalence and Causes of Unilateral Vision Impairment and Unilateral Blindness in Australia: The National Eye Health Survey
Joshua Foreman, Jing Xie, Stuart Keel, et al.
BMJ Open
|
January 31, 2024
What is the coverage of retina screening services for people with diabetes? Protocol for a systematic review and meta-analysis
Nimisha Chabba, Pushkar Raj Silwal, Covadonga Bascaran, et al.
The Cochrane Database of Systematic Reviews
|
May 29, 2024
Approaches for delivery of refractive and optical care services in community and primary care settings
Valerie Umaefulam, Sare Safi, Gareth Lingham, et al.
Clinical & Experimental Ophthalmology
|
June 20, 2019
Development and validation of a deep-learning algorithm for the detection of neovascular age-related macular degeneration from colour fundus photographs
Stuart Keel, Zhixi Li, Jane Scheetz, et al.
BMJ Open
|
March 29, 2025
Measures of diabetic retinopathy treatment coverage: protocol for a methodological review
Nimisha Chabba, Pushkar Raj Silwal, Covadonga Bascaran, et al.
Ophthalmology
|
July 11, 2017
The Prevalence and Causes of Vision Loss in Indigenous and Non-Indigenous Australians: The National Eye Health Survey
Joshua Foreman, Jing Xie, Stuart Keel, et al.
Asia-Pacific Journal of Ophthalmology (Philadelphia, Pa.)
|
June 29, 2017
Personality and Total Health Through Life Project Eye Substudy: Methodology and Baseline Retinal Features
Peter Van Wijngaarden, Stuart Keel, Lauren A B Hodgson, et al.
Scientific Reports
|
August 5, 2021
Real-world artificial intelligence-based opportunistic screening for diabetic retinopathy in endocrinology and indigenous healthcare settings in Australia
Jane Scheetz, Dilara Koca, Myra McGuinness, et al.
Scientific Reports
|
March 5, 2021
A survey of clinicians on the use of artificial intelligence in ophthalmology, dermatology, radiology and radiation oncology
Jane Scheetz, Philip Rothschild, Myra McGuinness, et al.
Diabetes Care
|
October 3, 2018
An Automated Grading System for Detection of Vision-Threatening Referable Diabetic Retinopathy on the Basis of Color Fundus Photographs
Zhixi Li, Stuart Keel, Chi Liu, et al.
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of 10
Search research articles
Search
Showing results (81-90 of 100) with videos related to
Sort By:
Page
of 10
JAMA Ophthalmology
|
January 27, 2018
Prevalence and Causes of Unilateral Vision Impairment and Unilateral Blindness in Australia: The National Eye Health Survey
Joshua Foreman, Jing Xie, Stuart Keel, et al.
BMJ Open
|
January 31, 2024
What is the coverage of retina screening services for people with diabetes? Protocol for a systematic review and meta-analysis
Nimisha Chabba, Pushkar Raj Silwal, Covadonga Bascaran, et al.
The Cochrane Database of Systematic Reviews
|
May 29, 2024
Approaches for delivery of refractive and optical care services in community and primary care settings
Valerie Umaefulam, Sare Safi, Gareth Lingham, et al.
Clinical & Experimental Ophthalmology
|
June 20, 2019
Development and validation of a deep-learning algorithm for the detection of neovascular age-related macular degeneration from colour fundus photographs
Stuart Keel, Zhixi Li, Jane Scheetz, et al.
BMJ Open
|
March 29, 2025
Measures of diabetic retinopathy treatment coverage: protocol for a methodological review
Nimisha Chabba, Pushkar Raj Silwal, Covadonga Bascaran, et al.
Ophthalmology
|
July 11, 2017
The Prevalence and Causes of Vision Loss in Indigenous and Non-Indigenous Australians: The National Eye Health Survey
Joshua Foreman, Jing Xie, Stuart Keel, et al.
Asia-Pacific Journal of Ophthalmology (Philadelphia, Pa.)
|
June 29, 2017
Personality and Total Health Through Life Project Eye Substudy: Methodology and Baseline Retinal Features
Peter Van Wijngaarden, Stuart Keel, Lauren A B Hodgson, et al.
Scientific Reports
|
August 5, 2021
Real-world artificial intelligence-based opportunistic screening for diabetic retinopathy in endocrinology and indigenous healthcare settings in Australia
Jane Scheetz, Dilara Koca, Myra McGuinness, et al.
Scientific Reports
|
March 5, 2021
A survey of clinicians on the use of artificial intelligence in ophthalmology, dermatology, radiology and radiation oncology
Jane Scheetz, Philip Rothschild, Myra McGuinness, et al.
Diabetes Care
|
October 3, 2018
An Automated Grading System for Detection of Vision-Threatening Referable Diabetic Retinopathy on the Basis of Color Fundus Photographs
Zhixi Li, Stuart Keel, Chi Liu, et al.
Page
of 10