Publications by authors named "Effendy Bin Hashim"
Artificial intelligence-based classification of cardiac autonomic neuropathy from retinal fundus images in patients with diabetes: The Silesia Diabetes Heart Study.
Katarzyna Nabrdalik
,
Krzysztof Irlik
,
Yanda Meng
,
Hanna Kwiendacz
,
Julia Piaśnik
,
Effendy Bin Hashim
Cardiovasc Diabetol
August 2024
Article Synopsis
- Cardiac autonomic neuropathy (CAN) is a serious complication in diabetes that can lead to cardiovascular events, but it's not commonly diagnosed due to time constraints.
- A study explored using AI and deep learning to analyze retinal images from diabetic patients for diagnosing CAN, successfully applying techniques like ResNet 18 and Multiple Instance Learning.
- The results showed high accuracy, with the AI model identifying 93% of CAN cases and 89% of non-CAN cases, particularly excelling in distinguishing severe CAN stages, indicating a promising diagnostic tool for clinical practice.
Strategies to address inequity of uncorrected refractive error in the Western Pacific: A modified Delphi process.
Ian McCormick
,
Kelvin Tong
,
Nurliyana Abdullah
,
Carmen Abesamis-Dischoso
,
Theresa Gende
,
Effendy Bin Hashim
Ophthalmic Physiol Opt
September 2024
Purpose: Uncorrected refractive error is the leading cause of vision impairment globally; however, little attention has been given to equity and access to services. This study aimed to identify and prioritise: (1) strategies to address inequity of access to refractive error services and (2) population groups to target with these strategies in five sub-regions within the Western Pacific.
Methods: We invited eye care professionals to complete a two-round online prioritisation process.