RETMARKER AUTOMATED AI TECHNOLOGY MONITORS AND PREVENTS RETINAL DISEASES' COMPLICATIONS

DR Screening

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.

RETMARKER’s AI
technology can help
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

“Retmarker technology allows us to significantly reduce costs from the human readings,
enabling us to screen more people with the existent resources, clearly benefiting our patients.”

Dra. Eunice Carrapiço
Screening Director
Regional Health Administration of Lisbon and Tagus valley (ARS-LVT)

Whitepaper

Brochure

2019
Retmarker’s Deep Learning algorithm for DR Screening shows improved performance and immediate results

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
Deep Learning algorithm shows good and immediate performance evaluating if colour fundus photographs are good enough to be graded

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
Improved Retmarker Screening method shows better safety (sensitivity) and significantly higher 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
Automated analysis using Retmarker Screening is safe and introduces a burden reduction of 50% in comparison to a fully manual human grading

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
Retmarker Screening algorithm developed in partnership with University of Coimbra shows promising results detecting multiple DR lesions

I. N. Figueiredo et al., “Automated lesion detectors in retinal fundus images,” Comput. Biol. Med., vol. 66, pp. 47–65, Nov. 2015.

2015
Oral Communication presenting results of screening for DR using Retmarker Screening in the Central Region of Portugal. Performance values detail sensitivity, specificity, inter and intragrader agreement

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
Retmarker’s image evaluation algorithm combines generic image quality indicators (colour, focus, contrast and illumination) to access gradeability

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
Retmarker’s image evaluation algorithm combines generic image quality indicators (colour, focus, contrast and illumination) to access gradeability

Dias MP Dias, et al. "Retinal image quality assessment using generic image quality indicators" Information Fusion, Volume 19, 2014, Pages 73-90.

2011
Automated grading of DR with Retmarker Screening may safely reduce the burden of grading patients in DR screening programs

C. M. Oliveira et al. Improved Automated Screening of Diabetic Retinopathy, Ophthalmologica, vol. 4, no. 226, pp. 191–197, Aug. 2011.

RETMARKER AUTOMATED AI TECHNOLOGY MONITORS AND PREVENTS RETINAL DISEASES' COMPLICATIONS

DR Screening

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.

RETMARKER’s AItechnology can help to minimize this problem.

What can Retmarker Screening offer?

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

Whitepaper

Brochure

2019Retmarker’s Deep Learning algorithm for DR Screening shows improved performance and immediate results

2019Deep Learning algorithm shows good and immediate performance evaluating if colour fundus photographs are good enough to be graded

2018 Improved Retmarker Screening method shows better safety (sensitivity) and significantly higher burden reduction (higher specificity)

2016 Automated analysis using Retmarker Screening is safe and introduces a burden reduction of 50% in comparison to a fully manual human grading

2015 Retmarker Screening algorithm developed in partnership with University of Coimbra shows promising results detecting multiple DR lesions

2015 Oral Communication presenting results of screening for DR using Retmarker Screening in the Central Region of Portugal. Performance values detail sensitivity, specificity, inter and intragrader agreement

2014Retmarker’s image evaluation algorithm combines generic image quality indicators (colour, focus, contrast and illumination) to access gradeability

2012Retmarker’s image evaluation algorithm combines generic image quality indicators (colour, focus, contrast and illumination) to access gradeability

2011 Automated grading of DR with Retmarker Screening may safely reduce the burden of grading patients in DR screening programs

Interested? Let's talk.