For example, in healthcare, AI can be used to predict, detect and manage chronic diseases. Risk profiles can be set up such that patients at higher risk of developing complications will be identified earlier, and preventive measures can be taken.
For example, AI system SELENA+ is able to detect major eye conditions such as diabetic eye disease and glaucoma just from analysing retinal photographs. The system's capabilities will also be extended to develop a predictive risk assesment model for cardiovascular disease. As the backbone of these projects, a vibrant and sustainable AI ecosystem is imperative to"anchor AI innovation and adoption across the economy", said Smart Nation and Digital Government Office in a press statement.
Therefore, the government will help to build Singapore's AI ecosystem through five different"ecosystem enablers". These include having partnerships with research communities and the industry, education and talent acquisition in AI and also enabling the sharing of data in a quick and secure way. One approach is by deepening investments in AI-related R&D across research environments. For example, over the next five years, Singapore will be investing S$200 million to upgrade its supercomputing capabilities, as well as network speeds and quality to support computing performance. This will also help to support the development and training of new AI algorithms and models.
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