Predicting Fracture Outcomes From Clinical Registry Data Using Artificial Intelligence Supplemented Models For Evidence-informed Treatment (PRAISE) Study
Funder
National Health and Medical Research Council
Funding Amount
$636,217.00
Summary
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.
Harnessing Information Technology To Improve Self-management Behaviours And Health Outcome In People With Heart Failure: A Smarthome Ecosystem Living Lab Study
Funder
National Health and Medical Research Council
Funding Amount
$1,120,226.00
Summary
The burden of heart failure in Australia is substantial. Management of heart failure is complex and requires self-management of symptoms and behaviour change, which requires ongoing education and support to achieve. Current approaches for supporting self-management do not meet the needs of people with heart failure or the healthcare system. This Australian first project aims to co-design an intelligent smart home ecosystem (Smart Heart) to support the management for people with heart failure.