ARA Artificial Intelligence showcase

Dr. Shane Huntington from3RRR radio’s “Einstein a Go-Go” hosted this year’s research showcase – a rapid-fire presentation from six ARA researchers highlighting the impact of AI on their work. Featuring, Prof. Victoria Mar, Prof. Tracey Bucknall, Dr Corey Giles, Prof. Meng Law, Prof. Lei Zhang and Prof. Belinda Gabbe.

The first day of Alfred Health Research Week focussed on research from across the precinct highlighting AI’s role in improving healthcare with presentations ranging in topics from early skin cancer detection to reducing patient harm, cardiovascular disease risk assessment, medical imaging, through to tools for early STI diagnosis.

Content Warning: This video contains images of sexually transmitted infections on human anatomy between 52 min and 1 hr timecode. Images are de-identified and included for medical research and education purposes.

First up, Professor Victoria Mar (Monash University) on reconceiving Melanoma early detection using AI and 3D total body imaging for improved diagnosis and risk assessment. [14:00]

Professor Tracey Bucknall (Deakin University) on the potential for AI to assist with minimising patient harm and its costs, as well as how AI could provide real-time information to nurses and staff. [24:00]

Doctor Corey Giles (Baker Heart and Diabetes Institute) on how AI can assist with cardiovascular risk assessment and the potential for blood tests to predict multiple conditions simultaneously. Outlining how his team used AI and machine learning to develop a lipid risk score.[32:00]

Professor Ming Law (Monash University) showed us the potential of AI in medical imaging, including how generative AI could create synthetic MRI scans that improve patient outcomes and reduce radiation exposure. Extending the capabilities of point-of-care MRIs with AI. Plus, a bonus dystopian movie tie-in for fans of Elysium. [43:00]

Content Warning: the following portion of the presentation contains images of sexually transmitted infections, included for medical research purposes. [52:00]

Professor Lei Zhang (Monash University) discussed AI tools for early STI diagnosis with the potential to break through the stigma and embarrassment of sexual health diagnosis and treatment leading to improved patient outcomes. Outlining his project MySTIrisk, a web-based AI tool that predicts risk of HIV and other STIs, and how it works.

Professor Belinda Gabbe (Monash University) discussed the use of AI in Orthopaedics, specifically the PRAISE study, using AI to improve the care of wrist fractures. Highlighting the importance of imaging data from electronic medical records and how AI can be used to improve ‘messy’ data from these registries.[1:02:00]

Finally, we conclude with some audience Q & A time to wrap things up.