RETMARKER AUTOMATED AI TECHNOLOGY MONITORS AND PREVENTS RETINAL DISEASES' COMPLICATIONS
Every day diabetics from population-based screening programs and individual private practices are being screened in a highly reliable and affordable way.
The unmet needs
400M+ diabetics have high risk of blindness.
Even more if we considered the pre-diabetics.
Periodic eye imaging is mandatory to
identify the need for treatment.
There are not enough qualified human
resources to serve the diabetics.
to minimize this problem.
What can Retmarker Screening offer?
Retmarker reduces the human burden, by safely removing diabetics with no signs of diabetic retinopathy.
Identification of target population (Diabetics)
Photograph taken by field technicians and sent to the Central Platform
Automatic Processing of Images with Retmarker AI technology.
Triage by human graders for suspicious cases
Final report with recommendations available
Relevant cases can be referred for medical treatment
enabling us to screen more people with the existent resources, clearly benefiting our patients.”
Dra. Eunice Carrapiço
Regional Health Administration of Lisbon and Tagus valley (ARS-LVT)
2019 | #oral_comm
DR Screening Deep Learning-based approach
Ramos J. D. et al. (2019, May) DIABETIC RETINOPATHY SCREENING DEEP LEARNING-BASED APPROACH at 29th Meeting of the European Association for the Study of Diabetes Eye Complications Study Group (EASDec) Amsterdam, The Netherlands, 16th – 18th May 2019. (2019). European Journal of Ophthalmology, 29(3), NP12–NP36.
2019 | #poster
New image quality algorithm immediately
evaluates gradeability of images
Almeida, N. et al. (2019, May). RETMARKER SCREENING: NEW IMAGE QUALITY ALGORITHM IMMEDIATELY EVALUATES GRADEABILITY OF IMAGES. In EUROPEAN JOURNAL OF OPHTHALMOLOGY (Vol. 29, No. 3, pp. NP33-NP33). 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND: SAGE PUBLICATIONS LTD.
2018 | #oral_comm
Improved Method of Retmarker Screening presents
safer identification of referable DR with significantly
better Burden Reduction (higher Specificity)
Ramos, J. D. et al. (2018, May). Improved Method of Retmarker Screening Presents Safer Identification of Referable Diabetic Retinopathy with Significantly Better Burden Reduction (Higher Specificity). In EUROPEAN JOURNAL OF OPHTHALMOLOGY (Vol. 28, pp. 8-8). 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND: SAGE PUBLICATIONS LTD.
2016 | #poster
Added value of an automated analysis
system in the context of DR Screening
Ribeiro, M. L. et al.(2016, July). Added Value of an Automated Analysis System in the Context of Diabetic Retinopathy Screening. In EUROPEAN JOURNAL OF OPHTHALMOLOGY (Vol. 26, No. 4, pp. E103-E103). 72/74 VIA FRIULI, 20135 MILAN, ITALY: WICHTIG PUBLISHING.
2015 | #paper
Automated Lesion Detectors in Retinal Fundus Images
I. N. Figueiredo et al., “Automated lesion detectors in retinal fundus images,” Comput. Biol. Med., vol. 66, pp. 47–65, Nov. 2015.
2015 | #oral_comm
Added value of automated “disease / no disease” grading
L. Ribeiro et al. Screening for Diabetic Retinopathy in the Central Region of Portugal - Added value of automated “disease / no disease” grading., EASDec 2015 Meeting, Turin. 26-28th Jun. 2015.
2014 | #paper
Screening for DR in the Central Region of Portugal
L. Ribeiro et al. Screening for Diabetic Retinopathy in the Central Region of Portugal. Added Value of Automated ‘Disease/No Disease' Grading., Ophthalmologica, Published online: 26th Nov. 2014.
2012 | #paper
Retinal image quality assessment
using generic image quality indicators
J. M. Pires Dias et al. "Retinal image quality assessment using generic image quality indicators,” Inf. Fusion, Aug. 2012.
2012 | #poster
Prospective analysis validates RetmarkerDR Screening
and shows potential for human grader burden reduction
Catarina A. Neves et al. "Prospective Evaluation of an Automated System to reduce Human Grading Burden in a Diabetic Retinopathy Screening Program." Invest. Ophthalmol. Vis. Sci. 2012;53(14):2890.
2011 | #poster
Retrospective analysis, in collaboration with the Portuguese Diabetes Association, confirms
the potential for burden reduction
by means of automated grading of DR
V. Maduro et al. "Human Grading Versus Retmarker Automated Grading System in Diabetic Retinopathy Screening", in Proceedings of the 47th Annual Meeting of the European Association for the Study of Diabetes, 2011
2011 | #paper
Improved Automated Screening of DR
C. M. Oliveira et al. Improved Automated Screening of Diabetic Retinopathy, Ophthalmologica, vol. 4, no. 226, pp. 191–197, Aug. 2011.