Journal of Clinical Nursing and Practice

Tan Teck Jack and Di Xiao

TeleMedC Group, Singapore


  • Short Communication   
    An AI-based diabetic retinopathy screening system and its use in real-world clinical settings in Australia, Singapore
    Author(s): Tan Teck Jack and Di Xiao

    Statement of the Problem: The World Health Organization announced in 2018 that 422 million people worldwide suffer from diabetes mellitus. The projected impact of vision impairment and blindness caused by Diabetic Retinopathy (DR) will result in significant public health and economic consequences. DR is preventable and treatable if detected early through an annual eye screening. However, screening rates are low globally due to a paucity of trained eye-health professionals in developing countries and in rural or remote areas of developed countries. Method: Based on the research from CSIRO Australian e-Health Research Centre, TeleMedC group commercialized an AIbased Diabetic Retinopathy screening system-DR grader, an automated DR grading, and a preliminary referral decision support tool for patients with diabetes. The cloud-based teleophthalmology system has the functionalities of (1) D.. View More»

    Abstract PDF