Tufail et.al conducted an independent, observational study of 20,258 consecutive patient visits comparing three automated DR screening systems: EyeArt, Retmarker DR, and iGrading.
- Compared to quality assured manual grading, EyeArt v1.0 achieves
- Acceptable sensitivity for referable DR
- Sufficient specificity to make it a cost effective alternative
- Sensitivity and false positive rates for EyeArt were not affected by ethnicity, gender, or camera type
- Adnan Tufail, Caroline Rudisill, Catherine Egan, Venediktos V. Kapetanakis, Sebastian Salas-Vega, Christopher G. Owen, Aaron Lee, et al. “Automated Diabetic Retinopathy Image Assessment Software – Diagnostic Accuracy and Cost-Effectiveness Compared with Human Graders.” Ophthalmology 124, no. 3 (March 1, 2017): 343–51. https://doi.org/10.1016/j.ophtha.2016.11.014.
- Adnan Tufail, Venediktos V Kapetanakis, Sebastian Salas-Vega, Catherine Egan, Caroline Rudisill, Christopher G Owen, Aaron Lee, et al. “An Observational Study to Assess If Automated Diabetic Retinopathy Image Assessment Software Can Replace One or More Steps of Manual Imaging Grading and to Determine Their Cost-Effectiveness.” Health Technology Assessment 20, no. 92 (December 2016). https://doi.org/10.3310/hta20920.