Retmarker

Literature

Diabetes affects 5% of the world’s population and its prevalence doubles every generation. The International Diabetes Federation (IDF) estimates that in 2013 approximately 382 million people in the world had diabetes.

Every 18 seconds someone is diagnosed with Diabetes. Even more worryingly, according to the IDF, by 2035 the number of diabetics in the world is expected to rise to 592 million.

Diabetic Retinopathy is the most frequent and most serious complication of Diabetes that afflicts vision, affecting up to 80 percent of all patients who have had diabetes for 10 years or more. You can learn more about Diabetic Retinopathy here.

Retmarker Diabetic Retinopathy Screening
You can access more information on this product version by downloading the official brochure here (or in Spanish here).

Screening Services at Innovative Private Practices
Retmarker is now being deployed at innovative private practices that own a fundus camera and wish to provide clinically validated DR screening reports to their customers. This is a complete and proven service, provided in partnership with a certified Reading Center. To know more about this offer, please download the brochure here

If you want to read more about Diabetic Retinopathy and Screening you can do so on our Whitepaper: "Innovative Technology to Support Cost-Effective Diabetic Retinopathy Screening Programs" here.

2015

Specificity reaches 70.35% with continued usage of Automated Retmarker Screening technology in Central Region of Portugal Screening Program while keeping Sensitivity very high (97,23%).

L. Ribeiro, C. M. Oliveira, C. Neves, J. D. Ramos, H. Ferreira, J. G. Cunha-Vaz, 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

Added Value of Automated ‘Disease/No Disease' Grading in Screening for Diabetic Retinopathy.

L. Ribeiro, C. M. Oliveira, C.Neves, J. D. Ramos, H. Ferreira and J. Cunha-Vaz, 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

Appropriately trained imagers can accurately identify sight threatning Diabetic Retinopathy.

J. D. Cavallerano, P. S. Silva, A. M. Tolson, T. Francis, D. Tolls, B. Patel, S. Eagan, L. M. Aiello, and L. P. Aiello, Imager evaluation of diabetic retinopathy at the time of imaging in a telemedicine program., Diabetes Care, vol. 35, no. 3, pp. 482–484, Mar. 2012.

2011

Automated grading of diabetic retinopathy may safely reduce the burden of grading patients in diabetic retinopathy screening programs.

C. M. Oliveira, L. M. Cristóvão, M. L. Ribeiro, and J. R. Faria Abreu, Improved Automated Screening of Diabetic Retinopathy, Ophthalmologica, vol. 4, no. 226, pp. 191–197, Aug. 2011.

2008

The number of Americans 40 years or older with Diabetic Retinopathy and Vision-Threatning Diabetic Retinopathy will triple in 2050.

J. B. Saaddine, A. A. Honeycutt, K. M. V. Narayan, X. Zhang, R. Klein, and J. P. Boyle, Projection of diabetic retinopathy and other major eye diseases among people with diabetes mellitus: United States, 2005-2050., Arch. Ophthalmol., vol. 126, no. 12, pp. 1740–7, Dec. 2008.

2006

The development and application of solutions that use information technology, such as teleretinal imaging, to enhance healthcare providers’ effectiveness and provide seamless integration across the healthcare system is critical to improving quality and delivering care at lower costs.

P. R. Conlin, B. M. Fisch, J. C. Orcutt, B. J. Hetrick, and A. W. Darkins, Framework for a national teleretinal imaging program to screen for diabetic retinopathy in Veterans Health Administration patients, J. Rehabil. Res. Dev., vol. 43, no. 6, p. 741, 2006.

2003

Suggests that a portable retinal camera is a more cost-effective means of screening for diabetic retinopathy than a retina specialist.

D. Maberley, H. Walker, A. Koushik, and A. Cruess, Screening for diabetic retinopathy in James Bay, Ontario: a cost-effectiveness analysis, vol. 62, no. 3–6, pp. 385–393, Mar. 2003.

AIBILI has been presenting Retmarker results at important scientific forums and publications:

Relevant Publications

  • I. N. Figueiredo, S. Kumar, C. M. Oliveira, J. D. Ramos, and B. Engquist, “Automated lesion detectors in retinal fundus images,” Comput. Biol. Med., vol. 66, pp. 47–65, Nov. 2015.
  • I. N. Figueiredo, J. S. Neves, S. Moura, C. M. Oliveira, and J. D. Ramos, “Pattern Classes in Retinal Fundus Images Based on Function Norms,” in Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications SE - 9, vol. 8641, Y. Zhang and J. S. Tavares, Eds. Springer International Publishing, 2014, pp. 95–105.
  • I. N. Figueiredo and S. Kumar, “Wavelet-Based Computer-Aided Detection of Bright Lesions in Retinal Fundus Images,” in Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications, Y. J. Zhang and J. M. R. S. Tavares, Eds. 2014, pp. 234–240.
  • J. D. Cavallerano, P. S. Silva, A. M. Tolson, T. Francis, D. Tolls, B. Patel, S. Eagan, L. M. Aiello, and L. P. Aiello, "Imager evaluation of diabetic retinopathy at the time of imaging in a telemedicine program.,” Diabetes Care, vol. 35, no. 3, pp. 482–484, Mar. 2012.
  • J. M. Pires Dias, C. M. Oliveira, and L. A. da Silva Cruz, "Retinal image quality assessment using generic image quality indicators,” Inf. Fusion, Aug. 2012.
  • C. M. Oliveira, L. M. Cristóvão, M. L. Ribeiro, and J. R. Faria Abreu, "Improved Automated Screening of Diabetic Retinopathy,” Ophthalmologica, vol. 4, no. 226, pp. 191–197, Aug. 2011.
  • J. B. Saaddine, A. A. Honeycutt, K. M. V. Narayan, X. Zhang, R. Klein, and J. P. Boyle, "Projection of diabetic retinopathy and other major eye diseases among people with diabetes mellitus: United States, 2005-2050.,” Arch. Ophthalmol., vol. 126, no. 12, pp. 1740–7, Dec. 2008.
  • P. R. Conlin, B. M. Fisch, J. C. Orcutt, B. J. Hetrick, and A. W. Darkins, "Framework for a national teleretinal imaging program to screen for diabetic retinopathy in Veterans Health Administration patients,” J. Rehabil. Res. Dev., vol. 43, no. 6, p. 741, 2006.
  • D. M. Squirrell and J. F. Talbot, "Screening for diabetic retinopathy,” J. R. Soc. Med., vol. 96, no. 6, pp. 273–6, Jun. 2003.
  • D. Maberley, H. Walker, A. Koushik, and A. Cruess, "Screening for diabetic retinopathy in James Bay, Ontario: a cost-effectiveness analysis,” vol. 62, no. 3–6, pp. 385–393, Mar. 2003.