AI-Powered Test to Identify Early Signs of Silicosis
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Details
- Date Published
- 21 Mar 2025
- Priority Score
- 2
- Australian
- Yes
- Created
- 22 Mar 2025, 11:16 am
Description
<p>The non-invasive tool, which analyses a person&#x27;s breath, can identify early signs of silicosis within minutes, which could be life-changing for at-risk workers. </p>
Summary
A breakthrough AI-powered diagnostic tool developed in Sydney offers a non-invasive method to detect early signs of silicosis by analyzing a person's breath. This innovation could significantly impact at-risk workers, particularly in Australia where the use of engineered stone has led to a rise in the lung disease. Researchers claim the AI model can distinguish between silicosis patients and healthy individuals with high accuracy, suggesting potential for widespread application in occupational safety. The tool's development aligns with Australia's broader efforts to mitigate health risks associated with industrial practices.
Body
Sydney researchers have made a breakthrough in the fight against silicosis, with the development of an AI-powered diagnostic tool.The non-invasive tool, which analyses a person's breath, can identify early signs of silicosis within minutes, which could be life-changing for at-risk workers.Lead researcher Professor William Alexander Donald said the model works by distinguishing breath profiles of silicosis patients from healthy individuals with remarkable accuracy.READ MORE:Two injured after stabbing outside Sydney shopping centreEngineered stone worker Angus Read provides a breath sample to be analysed for signs of silicosis.(.UNSW Sydney/Richard Freeman)Silicosis is caused by inhaling fine particles of silica dust and is attributed to the introduction of artificial stone materials during the building boom of the early 2000s.Engineered stone, a popular material often used for kitchen benches, has been linked to a surge in deadly lung disease due to its high silica content.Australia moved to ban engineered stone last year.Former stonemason Kyle Goodwin said early detection could have changed his life."If I had access to tests like this, I would have left the industry many years before I did," he said.READ MORE:Australian tourist killed as snorkeling boat capsizes off BaliCT scans of a tunneller diagnosed with silicosis. The light grey areas at the top part of the lungs represent severe scar-tissue.UNSW Sydney/Deborah Yates(UNSW Sydney/Deborah Yates)While a ban is in place, new cases of silicosis continue to emerge from other high-risk industries.Alexander Donald said there was an urgent need for better diagnostic tools."Our study shows that the AI-driven model accurately distinguished silicosis patients from healthy individuals based on their breath profiles, providing a reliable tool for early detection," he said."This suggests that breath testing could be a practical tool for large-scale worker screening and early intervention."A new trial is currently under way at mining sites in the Hunter Valley.Alexander Donald said researchers would like to see the tool used in the workplace over the next two years.DOWNLOAD THE 9NEWS APP: Stay across all the latest in breaking news, sport, politics and the weather via our news app and get notifications sent straight to your smartphone. Available on theApple App StoreandGoogle Play.