Eye-DR: Mobile Application for Diabetic Retinopathy Screening

Authors

  • Nurul Mirza Afiqah Tajudin Department of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia
  • Kuryati Kipli Department of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia
  • Khasyirah Mezlan Department of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia
  • Dayang Azra Awang Mat Department of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia
  • Rohana Sapawi Department of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia
  • Siti Kudnie Sahari Department of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia
  • Kasumawati Lias Department of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia
  • Suriati Khartini Jali Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia
  • Muhammad Hamdi Mahmood Department of Para-Clinical Sciences, Faculty of Medical and Health Sciences, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia
  • Thai Lim Lik Department of Ophthalmology, Faculty of Medical and Health Sciences, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia

Keywords:

Artificial intelligence, diabetic retinopathy screening, mobile application, teleophthalmology, retinal imaging

Abstract

The development of smartphone-based healthcare applications especially in medical diagnosis has become more appreciated as the pandemic COVID-19 happened. Diabetic Retinopathy (DR) is a condition that affects the small blood vessels in the retina as a result of prolonged impact of diabetes which may lead to complete loss of vision as it is the predominant cause of visual impairment among working-age individuals [1]. The evolution of portable ophthalmoscopes allows for smartphone cameras to be used as a medium for retinal imaging, especially in rural areas where healthcare services are limited. Therefore, utilizing the development of portable ophthalmoscopes has given the rural area of East Malaysia more opportunities to enhance healthcare services to reach more patients in the outskirts of Malaysia. Hence, the Eye-DR mobile application is designed to offer a third opinion to medical officers on DR diagnosis. The research is focused on the development of the user interface (UI) and user experience (UX) of a smartphone-based application for DR screening that will utilize a deep learning model. It is essential to identify the UI/UX building process of the smartphone-based app for medical disease diagnosis in order to develop a mobile app that can diagnose DR for any given retinal image. The study will also revolve around the design process of building a mobile application using Flutter and utilizing cloud computing (Google Firebase) for the model to work while reducing the application storage memory on the phone.

Author Biographies

Kuryati Kipli, Department of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia

kkuryati@unimas.my

Dayang Azra Awang Mat, Department of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia

amdazra@unimas.my

Rohana Sapawi, Department of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia

srohana@unimas.my

Siti Kudnie Sahari, Department of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia

sskudnie@unimas.my ·

Kasumawati Lias, Department of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia

lkasumawati@unimas.my

Suriati Khartini Jali, Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia

jskhartini@unimas.my

Muhammad Hamdi Mahmood, Department of Para-Clinical Sciences, Faculty of Medical and Health Sciences, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia

mmhamdi@unimas.my 

Thai Lim Lik, Department of Ophthalmology, Faculty of Medical and Health Sciences, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia

ltlim@unimas.my

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Published

2025-12-10

Issue

Vol. 40 No. 1: September (2025)

Section

Articles