A team of Macquarie University neurosurgery and computer science researchers is investigating the use of Artificial Intelligence and other computer tools to improve the study of brain disease in the University’s world-first Computational NeuroSurgery (CNS) Laboratory, with results already indicating far-reaching impact for disease diagnosis and treatment.
Innovation: Associate Professor Antonio Di leva, pictured, and his team have pioneered the use of AI-driven technology to improve the accuracy of brain images and in turn improve patient diagnosis and treatment.
The CNS Lab which was recently founded by Macquarie University Associate Professor Antonio Di Ieva, who is also a practising neurosurgeon at Macquarie University Hospital, is focused on developing computerised tools to produce more accurate images of the brain.
“Our research is to develop new computer methods to identify novel diagnostic, prognostic and therapeutic markers of brain diseases, such as brain tumours and cerebrovascular diseases ,” Associate Professor Di Ieva says.
In their latest research, lead by Di Ieva and collaborator, Dr Sidong Liu, an NHMRC Early Career Fellow from the Australian Institute of Health Innovation, and in partnership with several centres at Macquarie University and overseas (Universities of Istanbul and Doha), the team used an AI method called Deep Learning to analyse surgical samples of gliomas and to predict patient outcome and treatment.
The use of Deep Learning to analyse surgical samples allows a much faster and cheaper way to predict the presence of important markers, improving and