Journal of Basic and Clinical Reproductive Sciences

Journal of Basic and Clinical Reproductive Sciences
All submissions of the EM system will be redirected to Online Manuscript Submission System. Authors are requested to submit articles directly to Online Manuscript Submission System of respective journal.
Tan Teck Jack and Di Xiao
 
TeleMedC Group, Singapore
 

Received: 01-Feb-2021 Accepted Date: Feb 08, 2021 ; Published: 14-Feb-2021

This open-access article is distributed under the terms of the Creative Commons Attribution Non-Commercial License (CC BY-NC) (http://creativecommons.org/licenses/by-nc/4.0/), which permits reuse, distribution and reproduction of the article, provided that the original work is properly cited and the reuse is restricted to noncommercial purposes. For commercial reuse, contact [email protected]

Abstract

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.

Introduction

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 preliminary referral decision support tool for patients with diabetes. The cloud-based tele-ophthalmology system has the functionalities of: (1) Deep learning based image quality assessment tool; (2) Deep learning based DR “disease/no disease” grading for color retinal images; (3) DR lesion localization and DR level indication; (4) Preliminary report of patient referral/no referral decision; and (5) DR disease audit by eye experts and developing patient referral pathway. DR grader has been deployed in a GP Super clinic at Midland, Western Australia from December 2016 onwards. An AI-based diabetic retinopathy screening system and its use in real-world clinical settings in Australia and Singapore Tan Teck Jack and Di Xiao TeleMedC Group, Singapore

Results: Results of this implementation were published in a JAMA Network Open article (September 2018) evaluated a total of 291 patients. The system correctly identified all 12 patients with true disease (sensitivity 100%) and misclassified 23 patients as having disease (specificity 92%). The DR grader has been undergoing testing in Singapore since early 2018 at the Department of Ophthalmology, National University Hospital and in 30 GP clinics with similar or better preliminary results pending publication.

Conclusion: The AI-based DR screening system provides quick DR patient referral decision support in the primary care setting. It benefits patients from poorly-resourced and underserved remote areas for its low cost, time savings and high patient acceptability. The system was well received by primary care providers.

Biography

Tan Teck Jack is the Chief Medical Officer of TeleMedC Group, an ophthalmic diagnostics technology company originating from Silicon Valley. He is the Founder and Medical Director of Northeast Medical Group. He has more than 20 years of experience in clinical work with managing a group of clinics, a specialist center and the group’s HQ & pharmacy.



Journal of Basic and Clinical Reproductive Sciences is a peer-reviewed online journal with Semiannual print on demand compilation of issues published.
+44 3308188785
Google Scholar citation report
Citations : 917

Journal of Basic and Clinical Reproductive Sciences received 917 citations as per google scholar report

Journal of Basic and Clinical Reproductive Sciences peer review process verified at publons
Indexed In
  • Google Scholar
  • Publons
  • Euro Pub
Submit your Manuscript

  • Flexible online submission
  • Preliminary quality report within 3 days
  • 21 days rapid peer-review
  • High visibility of published content
  • Associated with relevant global conferences
  • 24/7 Editorial office availability