Sensitivity: Up to 100%
The Department of Ophthalmology, Rigshospitalet – Glostrup and University of Copenhagen, Denmark conducted a study of the Retinalyze software and concluded that the software could be used as a first-step screening tool and their results showed that the software had a sensitivity of 100%, exact CI95 96.6–100.0%. Their study concluded that the combination of an automated screening algorithm and an automated picture quality assessment was very effective.
Cut costs and time
DSI (now KORA), the Danish Institute of Health, and Signifikans, a CRO in statistical analysis, concluded that RetinaLyze could severely decrease the time and money spent on manual grading in societies. Please find the documentation below.
Matches manual detection
Retinalyze allied with specialists from the University of Copenhagen, Herlev Hospital, Odense University Hospital, Malmö University Hospital, Sahlgrenska University Hospital and the University of Wales College of Medicine to find out if the performance of Retinalyze could match the performance of experienced ophtalmologists.
Safe and secure
The British Journal of Ophthalmology published a report which described the work of several renowed scientist who investigated if digital automated detection of diabetic retinopathy could be used for a systematic and safe screening programme. Please find the documentation below.
Still not convinced?
Retinalyze allied with the University of Copenhagen, the Steno Diabetes Centre and Herlev Hospital to further evaluate the system.
- Bouhaimed Manal, Gibbins Robbie, and Owens David. Diabetes Technology & Therapeutics. April 2008, 10(2) 142-148. doi10.1089/dia.2007.0239.
- B. Sander, J. Godt, H. Lund-Andersen, M. Grunkin, D. Owens, N. Larsen, M. Larsen. Automated detection of fundus photographic red lesions in diabetic retinopathy. The Association for Research in Vision and Ophthalmology, 2001 Annual Meeting
- A. Hansen, N. Hartvig, M. Jensen, K. Borch-Johnsen, H. Lund-Andersen, M. Larsen. Diabetic retinopathy screening using digital non-mydriatic fundus photography and automated image analysis. Acta Ophthalmologica Scandinavia 2004. doi: 10.1111/j.1600-0420.2004.00350.x