Australian researchers from Monash University, in collaboration with national addiction treatment centre Turning Point and Eastern Health Foundations, strive to improve suicide prevention using AI technologies, shared university news page.

AI is tasked to analyze suicide-related ambulance data “to uncover critical suicide trends and potential points of intervention to better inform policy and public health responses”, shared Monash University professor Dan Lubman.

Thanks to machine learning, vast amount of clinical data could be categorised into categories like suicide attempt, suicidal ideation, or self-injury without suicidal intent. 

In May 2019 the project has received around $800,000 from Google AI Impact Challenge that, as Dr Lubman commented, helped this 3-year project reach more “potential to make a positive impact”.

Googleorg’s president Jacquelline Fuller shared that company believes in AI’s potential “to help address some of the world’s biggest humanitarian challenges”. Per Lifeline, suicide remains the leading cause of death for Australians aged from 15 to 44, and according to KPMG study, the current suicide rate is expected to grow 40% next decade. 

Now the collected data is already being presented to policy makers. Researchers believe that this data “will play a central role in informing public health prevention, policy and intervention, as well as identifying emerging trends, hidden populations and geographical hotspots for targeted responses relating to suicide”

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