02/07/2012 - Medalytix and Digital Healthcare exclusive global sub-licence
Medalytix and Digital Healthcare have agreed an exclusive global sub-licence for Digital Healthcare to market this product, and it has been seamlessly integrated into the Digital Healthcare patient management system. For further information www.digital-healthcare.
05/10/2011 - Automated grading of digital retinal images can safely reduce the workload of diabetic retinopathy screening programmes
Automated grading of digital retinal images can safely reduce the workload of diabetic retinopathy screening programmes according to new research presented at this year's conference of the British Association of Retinal Screening (BARS). The use of automated grading software can safely reduce the workload of manual graders by around 38%.
27/09/2011 - Pioneering disease detection technology launched
Medalytix and the Centre for Eye Research Australia (CERA) have launched pioneering technology that analyses changes in the eye to determine an individual’s risk of cardiovascular disease, years before symptoms arise.
The iGradingCVD technology, to be trialled by the National Health Service, uses computer image analysis to measure changes in the retina, at the back of the eye, to determine a person’
24/06/2011 - Medalytix announced as one of the winners in the Smart Solutions for Healthcare Programme
iGradingCVD, the latest new development from Medalytix, offers a new, automated, non-invasive way to assess people’s risk of cardiovascular disease (CVD). It does not require specialist staff and provides almost instant results. Medalytix suggests it could cut the cost of the government’
06/07/2010 - Global first - Automated Screening Technology for Detecting Retinopathy goes live in Scotland
Scotland has become the first national retinal screening service to adopt i-Grading, Medalytix’s new automated retinopathy screening technology. This groundbreaking software is set to revolutionise screening programmes around the world.
i-Grading is an innovative software solution that automatically assesses the quality of digital retinal images to detect the presence of microaneurysms at the back of the eye, identifying early signs of diabe