Description of impact
Diabetic retinopathy is a leading cause of blindness in people of working age. Screening programmes for its early detection are therefore crucial. Following the introduction of screening programmes for diabetic eye disease, research carried out at the University of Aberdeen enabled the resulting images to be analysed by computer rather than manually, a technique that has now been adopted by Scotland's national screening programme. This has achieved a significant impact on patient health, as well as economic impacts for the taxpayer, through cost savings, and for the company that developed the screening software commercially.Therefore this research has had impact in health and welfare by influencing decisions and care practices by a health service.
Impact status | Impact Completed (Open) |
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Documents & Links
Related content
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Research output
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The efficacy of “disease/no disease” grading for diabetic retinopathy in a systematic screening programme
Research output: Contribution to journal › Article › peer-review
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Costs and consequences of automated algorithms versus manual grading for the detection of referable diabetic retinopathy
Research output: Contribution to journal › Article › peer-review
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Cost-effectiveness of implementing automated grading within the national screening programme for diabetic retinopathy in Scotland
Research output: Contribution to journal › Article › peer-review
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A fully automated comparative microaneurysm digital detection system
Research output: Contribution to journal › Article › peer-review