DR EyeScan is a mobile application that uses machine learning and a 3D-printed lens attachment to enable early detection of diabetic retinopathy through retinal scans. It aims to make diabetic retinopathy screening highly accessible and leave no cases undiagnosed, as retinopathy is currently the leading cause of blindness but many cases go undetected each week. The application was developed by a team combining expertise in healthcare, data science, software development, and more to help prevent vision loss through early detection and treatment of this diabetes complication.

1. DR EyeScan
Early Detection of Diabetic
Retinopathy with Machine
Learning
[ ]

4. Every week 1 person gets diagnosed with Diabetic
Blindness
30,000 are left undiagnosed
DR is the leading cause of blindness
in working-age adults in Ireland
Source: diabetes.ie .

5. Every week hundreds get screened for DR
None are left undiagnosed
DR EYE Scan will make DR detection highly accessible

6. Our working
prototype
MLmobileapplication
3D-printedlensattachment

7. How it
works

8. David
Cloud,
Healthcare,
Maker
Darshan
Data Science and
Analytics
Seemanthini
Development,
Analytics
Ajay
Research and
Ideation
Bhavna
Software, Android
The Team

9. “Patients with diabetes are more frightened by the
possibility of blindness than of any other
complication of diabetes. Sight loss is a
preventable complication of diabetes, and we need
to get the screening process started as soon as
possible in order to prevent more patients
unnecessarily developing visual impairment.”
-Dr Kevin Moore, Irish Endocrine Society
Chairman of Diabetes Action

10. Through the continuous
acquisition of retinal
data sets, we can train
our algorithm to provide
B2B and B2G DR Eye
Scan solutions of
increasing predictive
quality.

11. DR EyeScan
Thank you!
[ ]

12. APPENDIX