Smart algorithms for visual field assessment

澳大利亚的人口研究表明，视力障碍是老年人残疾的重要原因。青光眼是发达国家第二大致盲原因，如果早期发现，可能会减缓视野丧失，但最近的研究估计，50%的澳大利亚青光眼患者未被诊断出来。该项目中发现的快速有效的测量视野的方法将允许更准确地诊断和监测视力丧失;对于ARC的优先目标“老得好，老得有成效”和“预防性医疗保健”至关重要。 与海德堡工程公司合作开发智能算法为澳大利亚生物医学软件能力的国际推广创造了机会。

Australian demographic studies show that visual impairment contributes significantly to elderly disability. Visual field loss due to glaucoma, the second leading cause of blindness in developed nations, may be slowed if detected early, but recent studies estimate 50% of Australians with glaucoma are undiagnosed. The fast and effective approaches to measuring visual fields discovered in this project will allow more accurate diagnosis and monitoring of vision loss; crucial for the ARC's priority goals of "ageing well, ageing productively" and "preventative healthcare". Developing smart algorithms in conjunction with Heidelberg Engineering creates an opportunity for the international promotion of Australia's biomedical software capabilities.