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 centre — headquartered at the Queensland Univerity of Technology — is undertaking what it describes as ground-breaking research in the medical space, and “leading the way in robotic research globally”.
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, and in recent years has been focused on developing algorithms and robotic systems to be used in the medical field, particularly breast cancer diagnoses.
Carneiro recently created a deep learning algorithm with more than 500 images to help detect and classify masses in mammograms.
And 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 five years.
Carneiro says Australia’s ageing population has significant costs and challenges and there is 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.
“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 MRIs and mammograms will drastically reduce the amount of follow-up scans, thus saving valuable time and money for both patients and the health sector.”