11 OCTOBER 2017: The Australian Centre for Robotic Vision is leading the way in robotic research globally with a number of new applications and technologies that will revolutionise the health sector.
From the use of robotic systems in MRI’S and mammograms detecting melanomas and cancer to the introduction of a futuristic scan that detects morbidity, the Australian Centre for Robotic Vision is undertaking ground breaking research in the medical space.
Formed in 2014 the Australian Centre for Robotic Vision has been funded $25.6 million over 7 years to form the largest collaborative group of its kind.
The group of Australian researchers are combining the disciplines of robotics with advanced computer vision to unleash the full potential of robotic technology to solve challenges facing Australia and the globe.
The Australian Centre for Robotic Vision’s Gustavo Carneiro, a computer scientist at the University of Adelaide, specialises in machine learning, particularly relating to robotics. In recent years Gustavo has been focused on developing algorithms and robotic systems to be used in the medical field particularly breast cancer diagnoses.
Gustavo recently created a deep learning algorithm with over 500 images to help detect and classify masses in mammograms.
“Breast cancer is one of the major diseases affecting the lives of women across the globe. The analyses of breast masses from mammograms represents an important task in diagnoses which currently is predominantly a manual process subjective to the assessment of a clinical expert. We are pleased to be undertaking world leading research into how robotics can help improve the accuracy, accessibility and cost of this process,” says Gustavo Carneiro, The Australian Centre for Robotic Vision.
Gustavo Carneiro and his team have also recently published a deep learning algorithm to detect morbidity. The system looks at elderly patients’ chest CT scans that don’t reveal anything outwardly unhealthy. Using the algorithm the scan can detect, with nearly 70% accuracy, if the patient will survive in the next 5 years. 
Gustavo Carneiro says Australia’s ageing population has significant costs and challenges and there are a range of benefits that stem from using robotics in the heath sector.
“By 2050 a quarter of Australia’s population will be over 65 and this has significant economic costs and productivity challenges. With reliable low cost robotics, we can dramatically reduce the cost and increase efficiency and accessibility of healthcare,” says Gustavo Carneiro, The Australian Centre for Robotic Vision.
“Robots and algorithms are going to play a large diagnostic role in clinics in the future. Research in radiology in particular has a range of advantages for the health industry and population. We are seeing that using robotic technology to assess results of MRI’s and mammograms will drastically reduce the amount of follow up scans thus saving valuable time and money for both patients and the health sector,” added Gustavo Carneiro, The Australian Centre for Robotic Vision.
Media Contact: LJ Loch 0488038555 or firstname.lastname@example.org
About The Australian Centre for Robotic Vision
The Australian Centre for Robotic Vision has been funded $25.6 million over 7 years to form the largest collaborative group of its kind generating internationally impactful science and new technologies that will transform important Australian industries and provide solutions to some of the hard challenges facing Australia and the globe.
Formed in 2014, The Australian Centre for Robotic Vision is the world’s first research centre specialising in robotic vision. The group of researchers are on a mission to give robots the ability to see and understand for the sustainable wellbeing of people and the environments we live in.
The Australian Centre for Robotic Vision has assembled an interdisciplinary research team from four leading Australian research universities- QUT, The University of Adelaide (UoA), The Australian National University (ANU), and Monash University as well as CSIRO’s Data61, and overseas universities and research organisations including INRIA Rennes Bretagne, Georgia Institute of Technology, Imperial College London, the Swiss Federal Institute of Technology Zurich, and the University of Oxford.
Australian Centre for Robotic Vision
2 George Street Brisbane, 4001
+61 7 3138 7549