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1.
Automated Diabetic Retinopathy Image Assessment Software: Diagnostic Accuracy and Cost-Effectiveness Compared with Human Graders.
Ophthalmology
; 124(3): 343-351, 2017 03.
Artículo
en Inglés
| MEDLINE | ID: mdl-28024825
2.
What are the perceptions and concerns of people living with diabetes and National Health Service staff around the potential implementation of AI-assisted screening for diabetic eye disease? Development and validation of a survey for use in a secondary care screening setting.
BMJ Open
; 13(11): e075558, 2023 11 15.
Artículo
en Inglés
| MEDLINE | ID: mdl-37968006
3.
Ethnic disparities in progression rates for sight-threatening diabetic retinopathy in diabetic eye screening: a population-based retrospective cohort study.
BMJ Open Diabetes Res Care
; 11(6)2023 11.
Artículo
en Inglés
| MEDLINE | ID: mdl-37949472
4.
Two-year recall for people with no diabetic retinopathy: a multi-ethnic population-based retrospective cohort study using real-world data to quantify the effect.
Br J Ophthalmol
; 107(12): 1839-1845, 2023 11 22.
Artículo
en Inglés
| MEDLINE | ID: mdl-37875374
5.
Diagnostic accuracy of diabetic retinopathy grading by an artificial intelligence-enabled algorithm compared with a human standard for wide-field true-colour confocal scanning and standard digital retinal images.
Br J Ophthalmol
; 105(2): 265-270, 2021 02.
Artículo
en Inglés
| MEDLINE | ID: mdl-32376611
6.
Effect of ethnicity and other sociodemographic factors on attendance at diabetic eye screening: a 12-month retrospective cohort study.
BMJ Open
; 11(9): e046264, 2021 09 17.
Artículo
en Inglés
| MEDLINE | ID: mdl-34535475
7.
Prospective evaluation of an artificial intelligence-enabled algorithm for automated diabetic retinopathy screening of 30 000 patients.
Br J Ophthalmol
; 105(5): 723-728, 2021 05.
Artículo
en Inglés
| MEDLINE | ID: mdl-32606081
8.
Comparison of true-colour wide-field confocal scanner imaging with standard fundus photography for diabetic retinopathy screening.
Br J Ophthalmol
; 104(11): 1579-1584, 2020 11.
Artículo
en Inglés
| MEDLINE | ID: mdl-32139499
9.
An observational study to assess if automated diabetic retinopathy image assessment software can replace one or more steps of manual imaging grading and to determine their cost-effectiveness.
Health Technol Assess
; 20(92): 1-72, 2016 12.
Artículo
en Inglés
| MEDLINE | ID: mdl-27981917
10.
A study of whether automated Diabetic Retinopathy Image Assessment could replace manual grading steps in the English National Screening Programme.
J Med Screen
; 22(3): 112-8, 2015 Sep.
Artículo
en Inglés
| MEDLINE | ID: mdl-25742804
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