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Grant Award View - GA143547
Predicting fracture outcomes from clinical Registry data using...
GA ID:
GA143547
Agency:
National Health and Medical Research Council (NHMRC)
Approval Date:
26-Nov-2020
Publish Date:
21-Dec-2020
Category:
Health and Medical Research
Grant Term:
1-Jan-2021 to 31-Dec-2024
Value (AUD):
$636,216.70
(GST inclusive where applicable)
One-off/Ad hoc:
No
Aggregate Grant Award:
No
PBS Program Name:
NHMRC 19/20 1.1 Health and Medical Research
Grant Program:
Ideas
Grant Activity:
Predicting fracture outcomes from clinical Registry data using Artificial Intelligence Supplemented models for Evidence-informed treatment (PRAISE) study
Purpose:
This project will establish the role of artificial intelligence (AI) techniques to improve the prediction of clinical and longer-term patient reported outcomes following wrist fracture. Prediction models based on existing, routinely collected registry data with will be compared with models based on registry data enhanced by AI analysis of X-ray images, radiology reports and surgical reports. The AI analysis will reason on both image and text data, better replicating how humans learn.
GO ID:
GO Title:
2020 Ideas Grants
Internal Reference ID:
GNT2003537
Selection Process:
Targeted or Restricted Competitive
Confidentiality - Contract:
Yes
Confidentiality Reason(s) - Contract:
Privacy Act 1988
Intellectual property
Intellectual property
Confidentiality - Outputs:
Yes
Confidentiality Reason(s) - Outputs:
Intellectual property
Grant Recipient Details
Recipient Name:
Monash University
Recipient ABN:
12 377 614 012
Grant Recipient Location
Suburb:
Clayton
Town/City:
Clayton
Postcode:
3800
State/Territory:
VIC
Country:
AUSTRALIA
Grant Delivery Location
State/Territory:
VIC
Postcode:
Country:
AUSTRALIA