Utilising AI-based techniques to improve mental health treatment
25% of Australian university students experience severe psychological distress during their studies.
Consequently, many drop out of study or go on to develop more severe psychiatric disorders in their peak years. These disorders result in years of disability and lost opportunity without timely intervention.
The ‘gold standard’ method for exploring questions about which treatments to use is the randomised controlled trial (RCT). Although key for testing efficacy, comparing multiple treatment options using RCTs is time consuming, expensive, and inefficient. These challenges underline the importance of looking for new ways to explore treatment efficacy while preserving the rigour of a traditional RCT.