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Grant Award View - GA89127
Optimising treatments in mental health using AI
GA ID:
GA89127
Agency:
Department of Health and Aged Care
Approval Date:
17-Jun-2020
Publish Date:
26-Jun-2020
Category:
Academic Medical Research
Grant Term:
25-Jun-2020 to 6-Jun-2024
Original: 25-Jun-2020 to 6-Dec-2023
Value (AUD):
$4,995,434.00
(GST inclusive where applicable)
Variations:
- GA89127-V1 - Extension of grant term (27-Jul-2023 )
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
DoHAC 19/20 Health Policy Research and Analysis
Grant Program:
Medical Research Future Fund
Grant Activity:
Optimising treatments in mental health using AI
Purpose:
Mental health disorders are prevalent, affect people in every workplace, and cause great distress to students and their parents. A major problem is that most treatments in mental health are only partially effective. It is not known which interventions, or which components of therapies, provide the vital active ingredients, and why they work for some but not for others. Artificial intelligence will be used to uncover which treatments for stress, anxiety and depression work quickly, and for whom. If artificial intelligence can advance a solution towards shortening the prolonged period where people are provided with non-optimal treatment for their condition, the social, personal and economic costs would be enormous.
GO ID:
GO Title:
MRFF - National Critical Research Infrastructure Initiative: 2019 Applied Artificial Intelligence Research in Health
Internal Reference ID:
MRFAI000028
Selection Process:
Open Competitive
Confidentiality - Contract:
No
Confidentiality - Outputs:
No
Grant Recipient Details
Recipient Name:
UNIVERSITY OF NEW SOUTH WALES
Recipient ABN:
57 195 873 179
Grant Recipient Location
Suburb:
KENSINGTON
Town/City:
KENSINGTON
Postcode:
2052
State/Territory:
NSW
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
NSW
Postcode:
2031
Country:
AUSTRALIA