2018
DOI: 10.1016/j.diabres.2018.04.011
|View full text |Cite
|
Sign up to set email alerts
|

Identification of factors to increase efficacy of telemedicine screening for diabetic retinopathy in endocrinology practices using the Intelligent Retinal Imaging System (IRIS) platform

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
12
0

Year Published

2019
2019
2023
2023

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 20 publications
(13 citation statements)
references
References 15 publications
1
12
0
Order By: Relevance
“…In the one study from Canada [25] including only type 2 diabetes the prevalence of any DR, NPDR and PDR was 25.1%, 23.6% and 6.5% respectively. The 2 other studies from Alaska [26] and the USA [27] where the type of diabetes was either not recorded or the population was mixed the prevalence of any DR was 20.2% and 33.9%, NPDR 17.6% and 32.8%, PDR 2.3% and 1.2%, DME 2.3% and 4.3% respectively.…”
Section: Resultsmentioning
confidence: 94%
See 1 more Smart Citation
“…In the one study from Canada [25] including only type 2 diabetes the prevalence of any DR, NPDR and PDR was 25.1%, 23.6% and 6.5% respectively. The 2 other studies from Alaska [26] and the USA [27] where the type of diabetes was either not recorded or the population was mixed the prevalence of any DR was 20.2% and 33.9%, NPDR 17.6% and 32.8%, PDR 2.3% and 1.2%, DME 2.3% and 4.3% respectively.…”
Section: Resultsmentioning
confidence: 94%
“…In North America & Caribbean, Region 4, there were a total of 3 studies [25][26][27] involving 56,518 people with diabetes examined from 2007, 2011 and 2013 onwards, with periods extending over 4-6 years duration ( Table 3). The overall prevalence of any DR, was 21.9%, NPDR 19.5%, PDR 2.5% and DME at 2.5%.…”
Section: Resultsmentioning
confidence: 99%
“…21,22 Although this study used the gold standard doubleread ETDRS 7-field photography, we would expect similar results using dilated fundus examinations and simpler photographic methods assuming a substantial correlation between these techniques and the gold standard. 23 With advances in technology used to obtain high quality color fundus photographs [24][25][26] and the use of artificial intelligence algorithms to classify these photographs, 7,8,26,[28][29][30] large scale programs to identify the need of patients to see a retinal specialist have been implemented to reduce morbidity associated with diabetic retinopathy. 6 Technological advances in clinical electroretinography have also made this test much better suited to aid in the detection of diabetic retinopathy.…”
Section: Discussionmentioning
confidence: 99%
“…The current field of ophthalmology is overburdened with a high demand of monthly clinic visits with ophthalmologic imaging required to determine if the patient requires treatment for diabetic retinopathy or age-related macular degeneration. Instead of being done in a clinic environment, a more efficient tele-ophthalmology approach includes pointof-care image acquisition at a local pharmacy or optometrist office, or even at home via imaging devices attached to mobile phones [119,120]. Also as with teledermatology, ophthalmology image data privacy and security are critical, since any images in the glaucoma patient use case above depicting the iris or retina are typically considered PHI [121,122].…”
Section: Ophthalmologymentioning
confidence: 99%