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Keynote webinar | Spotlight on medication adherence

LIVE: Thursday 27th June 2024, 18:00-19:30 (CEST)
Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.
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International Journal of Diabetes in Developing Countries
Published in: International Journal of Diabetes in Developing Countries 1/2019

01-01-2019 | Diabetic Retinopathy | Editorial

Screening for diabetic retinopathy—is the use of artificial intelligence and cost-effective fundus imaging the answer?

Author: Aravind R. Sosale

Published in: International Journal of Diabetes in Developing Countries | Issue 1/2019

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Excerpt

Vision loss among people with diabetes is a major problem. While most know the importance of evaluating a patient for complications, retinopathy screening gets left out by most treating physicians for want of expertise and training needed. …
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Leasher JL, Bourne RRA, Flaxman SR, Jonas JB, Keeffe J, Naidoo K, et al. Global estimates on the number of people blind or visually impaired by diabetic retinopathy: a meta-analysis from 1990 to 2010. Diabetes Care. 2016;39(9):1643–9.CrossRefPubMed
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Gadkari SS, et al. Prevalence of diabetic retinopathy in India: the all India ophthalmological society diabetic retinopathy eye screening study 2014. Indian J Ophthalmol. 2016;64(1):38–44.CrossRefPubMedPubMedCentral
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Sosale A, Prasanna Kumar KM, Sadikot SM, Nigam A, Bajaj S, Zargar AH, et al. Chronic complications in newly diagnosed patients with type 2 diabetes mellitus in India. Indian J Endocrinol Metab. 2014;18(3):355–60.CrossRefPubMedPubMedCentral
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Sosale B, Sosale AR, Mohan AR, Kumar PM, Saboo B, Kandula S. Cardiovascular risk factors, micro and macrovascular complications at diagnosis in patients with young onset T2 diabetes in India: CINDI 2. Indian J Endocrinol Metab. 2016;20:114–8.CrossRefPubMedPubMedCentral
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Ruamviboonsuk P, Ruamviboonsuk P, Ruamviboonsuk KT, Tiensuwan M, Yuttitham K, Thai Screening for Diabetic Retinopathy Study Group. Interobserver agreement in the interpretation of single-field digital fundus images for diabetic retinopathy screening. Ophthalmology. 2006;113(5):826–32.CrossRefPubMed
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Funatsu H, Yamashita H, Shimada H, Suzuki M, Ohashi Y. Reliability of evaluating grade of diabetic retinopathy. Nippon Ganka Gakkai Zasshi. 1993;97(3):396–402.PubMed
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Raman R, Srinivasan S, Virmani S, Sivaprasad S, Rao C, Rajalakshmi R. Fundus photograph-based deep learning algorithms in detecting diabetic retinopathy. Eye (Lond). 2019;33:97–109.CrossRef
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Metadata
Title
Screening for diabetic retinopathy—is the use of artificial intelligence and cost-effective fundus imaging the answer?
Author
Aravind R. Sosale
Publication date
01-01-2019
Publisher
Springer India
Published in
International Journal of Diabetes in Developing Countries / Issue 1/2019
Print ISSN: 0973-3930
Electronic ISSN: 1998-3832
DOI
https://doi.org/10.1007/s13410-019-00729-y

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Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

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Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

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