Enabling Disability? Autonomous Technologies & CaLD persons with disability. Over 1 million disabled Australians are from culturally and linguistically diverse (CaLD) communities, the majority of whom are ineligible for disability and multicultural services. CaLD persons with disability significantly rely on digital information systems, devices and platforms to secure their economic, social and cultural inclusion. Evidence to date documents the continual exclusionary impact of artificial intelli ....Enabling Disability? Autonomous Technologies & CaLD persons with disability. Over 1 million disabled Australians are from culturally and linguistically diverse (CaLD) communities, the majority of whom are ineligible for disability and multicultural services. CaLD persons with disability significantly rely on digital information systems, devices and platforms to secure their economic, social and cultural inclusion. Evidence to date documents the continual exclusionary impact of artificial intelligence (AI) behind such technologies in addition to its inaccessibility to complex end-users. Yet, AI is now central to socio-economic well being and inclusion. In partnership with community and industry, this project will inform future AI developments and policy increasing its adaptability, accessibility and affordability.
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Machine Learning for Fracture Risk Assessment from Simple Radiography. This project aims to develop a novel, reliable, low-cost system to detect poor bone health and assess fracture risk to help to prevent and manage osteoporosis-related fractures. Currently, osteoporosis-related fractures cost our health system millions of dollars annually and costs are increasing with our ageing population. Early detection of poor bone health will improve the effectiveness of preventive measures and ease this ....Machine Learning for Fracture Risk Assessment from Simple Radiography. This project aims to develop a novel, reliable, low-cost system to detect poor bone health and assess fracture risk to help to prevent and manage osteoporosis-related fractures. Currently, osteoporosis-related fractures cost our health system millions of dollars annually and costs are increasing with our ageing population. Early detection of poor bone health will improve the effectiveness of preventive measures and ease this burden. Current methods include unreliable, crude clinical and visual guides that suggest osteoporosis screening. The project plans to develop a novel system by applying machine learning algorithms to radiology data which is commonly captured for diagnosing other conditions.Read moreRead less