Scottish Health Innovations Ltd

iGrading™ Platform- Diabetic Retinopathy Screening Software

The iGrading platform is an CE-accredited innovation that can help reduce the risk of blindness by detecting early incidences of diabetic retinopathy. The product is the result of a collaboration with the University of Aberdeen, SHIL and NHS Grampian and commercial partner Medalytix Ltd.

The iGrading system utilises automated computer algorithms to assess image quality and detect early signs of diabetic retinopathy, allowing a cost-effective and immediate alternative to the manual grading process. The programme works by rapidly scanning digital photos taken of the eyes of people with diabetes. It hunts for tiny blood spots - microaneurysms – which are the earliest signs of diabetic retinopathy. Use of iGrading allows separation of those patients whose images have no problem and can be recalled in one year, from those with a problem, whose images need to be reviewed by a trained person or ophthalmologist.

The system bring benefits to existing diabetic retinopathy screening programmes, but in countries where organised screening may not be in place it also allows rapid implementation of sight saving programmes - all that is required is a fundus camera and a PC.

iGrading is currently being implemented in the Scottish National Diabetic Retinopathy Screening Programme to provide an automated pre-filter of digital retinal images taken.

Product Summary:
  • Software for early detection of diabetic retinopathy
  • Validates image quality
  • Detects the presence of microaneurysms
  • Manages workflow, filtering retinal images and removing normal images from work queues
  • Has secure communications and common interfaces enabling interaction with any existing patient management software
  • Provides a simple grading platform if required
  • Automated grading has been tried, tested and validated against an unparalleled number of data sets. It can accurately detect the signs of diabetic retinopathy and presents a compelling alternative to the manual process. The benefits can be strongly demonstrated where volume is an issue.

 

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