While the HE establishment worries about wrangling AI to suit existing teaching job models, medical researchers are going gangbusters in applied research and crucially, regulation.
There is a new round of ten National Health and Medical Research Council grants focused on applying AI, including a model to make people comfortable with what it will do.
Awards include;
- Winston W K Chong (Monash U): MRI scans can be unreliable for assessing MS progress. AI can improve treatment decisions
- Monika Janda (Uni Queensland): 3D skin-imaging for melanoma in regional communities, “combined with artificial intelligence clinician support”
- Paul Keal (Uni Sydney): AI targeting for radiotherapy which means reduced side effects on a $10m device are possible in standard $3m kit.
Plus, Clair Sullivan (Uni Queensland) proposes a model to address, “uncertainty around how to safely implement AI, how our workforce will embrace new ways of working, and how consumers will react.”
She proposes a “scalable, digital infrastructure solution … overseen by peak national patient safety and regulatory authorities” that “enables the safe and ethical prospective evaluation of AI.”
