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AI predicts infrastructure lifecycle and detects diabetic retinopathy

RMIT researchers have developed a software that is being used to help plan for the lifecycle and maintenance costs of assets including buildings, bridges, and stormwater drainage.

According to a recent report, the software processes data collected on individual infrastructure assets to help predict deterioration and anticipate replacement costs for large portfolios.

Powered by a self-learning algorithm, the product could run on multiple scenarios.

This is a unique advantage that enabled asset managers a range of replacement solutions to meet different budgetary requirements and timeframes.

It is already being used by several councils in Melbourne as well as across all RMIT campuses.

Having a self-learning algorithm means predictions become better as more data are added to the system.

Lifecycle costs can add up to more than 60% of the overall budget of an asset and, if not accurately anticipated, can occur suddenly and at great expense.

Instead of taking a reactive approach, which is what normally happens, the software looks ahead in time with preventative planning.

The modelling software helps predict and identify these costs earlier, thereby guaranteeing minimum risk to an organisation.

Data can be collected using an integrated iPad app, while variable factors, such as usage, can be incorporated into the prediction model by using sensors to collect additional information.

By incorporating sensors, the software will also be able to process real-time monitoring data in the future.

It will, therefore, provide faster and even more accurate information to asset managers, saving time and money.

Two new products for targeting bridges and drainage are already in development and there are plans to expand to a suite of products catering for several other asset categories including parks, pavements and footpaths.

In other news, a team of Australian-Brazilian researchers, led by the University, is utilising artificial intelligence (AI) to support the instant diagnosis of diabetes-related eye disease, in its earliest stages.

As reported, an image-processing algorithm can automatically detect one of the key signs of diabetic retinopathy, which is fluid on the retina, with an accuracy rate of 98%.

Diabetic retinopathy is the leading cause of vision loss in adults and its impact is growing worldwide, with 191 million people set to be affected by 2030.

The disease has no early-stage symptoms and may already be in the advanced stage by the time people start losing their vision.

Early diagnosis and treatment can make a dramatic difference to how much vision a patient retains.

Usually, only half of those with diabetes have regular eye exams and a third have never even been checked.

Moreover, the gold standard methods of diagnosing diabetic retinopathy are invasive or expensive, and often unavailable in remote or developing parts of the world.

Making it quicker and cheaper to detect this incurable disease could be life changing for the millions of people who are currently undiagnosed and risk losing their sight.

The method, according to the lead investigator, was instantaneous and cost-effective.

The AI-driven approach delivers results that are just as accurate as clinical scans but relies on retinal images that can be generated with ordinary optometry equipment.

Fluorescein angiography and optical coherence tomography scans are currently the most accurate clinical methods for diagnosing diabetic retinopathy.

There is an alternative and cheaper method like analysing the images of the retina taken by relatively inexpensive equipment called fundus cameras.

But, this process is manual, time-consuming, and less reliable.

Researchers from the Biosignals Laboratory in the University’s School of Engineering, together with collaborators from the Federal University of Sao Carlos, Federal Institute of Sao Paolo, University of Campinas and Sao Paolo State University, all in Brazil, used deep learning and artificial intelligence (AI) techniques to automate the analysis of fundus images.

The algorithm they developed can accurately and reliably spot the presence of fluid from damaged blood vessels inside the retina.

The researchers hope their method could eventually be used for widespread screening of at-risk populations.

The researchers are in discussions with manufacturers of fundus cameras about potential collaborations to advance the technology.

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Qlik’s vision is a data-literate world, where everyone can use data and analytics to improve decision-making and solve their most challenging problems. A private company, Qlik offers real-time data integration and analytics solutions, powered by Qlik Cloud, to close the gaps between data, insights and action. By transforming data into Active Intelligence, businesses can drive better decisions, improve revenue and profitability, and optimize customer relationships. Qlik serves more than 38,000 active customers in over 100 countries.

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As a Titanium Black Partner of Dell Technologies, CTC Global Singapore boasts unparalleled access to resources.

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Planview has one mission: to build the future of connected work. Our solutions enable organizations to connect the business from ideas to impact, empowering companies to accelerate the achievement of what matters most. Planview’s full spectrum of Portfolio Management and Work Management solutions creates an organizational focus on the strategic outcomes that matter and empowers teams to deliver their best work, no matter how they work. The comprehensive Planview platform and enterprise success model enables customers to deliver innovative, competitive products, services, and customer experiences. Headquartered in Austin, Texas, with locations around the world, Planview has more than 1,300 employees supporting 4,500 customers and 2.6 million users worldwide. For more information, visit www.planview.com.

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SIRIM is a premier industrial research and technology organisation in Malaysia, wholly-owned by the Minister​ of Finance Incorporated. With over forty years of experience and expertise, SIRIM is mandated as the machinery for research and technology development, and the national champion of quality. SIRIM has always played a major role in the development of the country’s private sector. By tapping into our expertise and knowledge base, we focus on developing new technologies and improvements in the manufacturing, technology and services sectors. We nurture Small Medium Enterprises (SME) growth with solutions for technology penetration and upgrading, making it an ideal technology partner for SMEs.

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HashiCorp provides infrastructure automation software for multi-cloud environments, enabling enterprises to unlock a common cloud operating model to provision, secure, connect, and run any application on any infrastructure. HashiCorp tools allow organizations to deliver applications faster by helping enterprises transition from manual processes and ITIL practices to self-service automation and DevOps practices. 

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IBM is a leading global hybrid cloud and AI, and business services provider. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. Nearly 3,000 government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM’s hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM’s breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and business services deliver open and flexible options to our clients. All of this is backed by IBM’s legendary commitment to trust, transparency, responsibility, inclusivity and service.