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.
Improving Kidney Transplant Outcomes Using Normothermic Machine Perfusion
Funder
National Health and Medical Research Council
Funding Amount
$778,232.00
Summary
Kidneys donated for transplantation are at risk of damage that prevent the organ from working and reduce its lifespan. Normothermic machine perfusion is a device that can circulate oxygenated blood at normal body temperature through a donor kidney prior to transplantation. In doing so it is able to resuscitate the kidney and prevent injury. We will determine how machine perfusion achieves this remarkable effect and investigate new treatments for kidney injury.
Facial paralysis results in loss of the ability to blink, which is the primary means of protecting and lubricating the eye. The eye becomes dry and ulcerated and eventually vision loss ensues. No therapy exists that can reliably restore blink and hence treatment is mostly palliative today. BLINC is an implantable device that artificially restores eye closure. It is wirelessly powered and readily implantable. BLINC has achieved eye closure similar to natural blinking in human cadaveric models.
A Suture-less Cannula For Rapid, Off-bypass Implantation Of Left Ventricular Assist Devices
Funder
National Health and Medical Research Council
Funding Amount
$816,491.00
Summary
Heart transplantation is the ideal treatment for 300,000 Australians living with chronic heart failure. The lack of donor hearts necessitates the use of implantable mechanical hearts; however, bleeding and blood clots are common due to outdated surgical tools, poor body-device integration and unnatural device blood flow. This project will address these limitations through the development of a rapid and safe implantation tool that integrates with the body and produces natural blood flow dynamics.
Improving Cardiac Valve Implant Outcomes With Advanced Computer Simulation
Funder
National Health and Medical Research Council
Funding Amount
$593,367.00
Summary
This project focuses on improving heart valve procedures, specifically focusing on new transcatheter techniques of heart valve implantation. The research uses advanced imaging and computer simulation techniques to predict the outcome and improve minimally invasive heart procedures.