Nov 2019 – Singapore’s National Artificial Intelligence (AI) Strategy is a key step in their Smart Nation journey. It spells out the plans to deepen use of AI technologies to transform the economy, going beyond just adopting technology, to fundamentally rethinking business models and making deep changes to reap productivity gains and create new areas of growth.
One of the identified 5 strategic projects announced in the national thrust is the adoption of SELENA+, our Deep Learning System developed to analyse fundus images and screen for diabetes retinopathy. EyRIS is both proud and excited to be part of this momentous nationwide deployment which promises to deliver tangible benefits to healthcare providers and citizens alike.
Find out more in the National AI Strategy document below:
SELENA+ is an intelligent deep learning system (DLS) designed to perform automated image analysis for diabetic eye diseases. DLS, a breakthrough machine learning technology, utilizes representation-learning methods with multiple levels of representation to process natural data in their raw form, recognizing the intricate structures in high-dimensional data.
DLS develops from previous machine learning technology using “feature-based” and “pattern recognition” techniques. SELENA+ ‘learns’ from experience like a human brain so it is critical to have a large input data to enable the mining and extraction of meaningful patterns or features via the convolutional neural network (CNN) – to build a dictionary or an encyclopaedia. In other words, the greater amount of “training” SELENA+ goes through, the more accurate it becomes.
SELENA+’s excellent image processing capabilities was developed and originally trained on anonymised retinal images acquired from diabetic patients who attended the Singapore Integrated Diabetic Retinopathy Programme (SIDRP) over 10 years. Subsequently, a multi-centre global collaborative e‑ort involving more than 10 centres such as Mexico, United Kingdom, New Zealand, Australia, United States, China and Thailand was conducted to validate the program.