Professor Davide Fontanarosa
is using artificial intelligence to automate the interpretation of ultrasound data. Ultrasound imaging is a valuable clinical tool that is non-invasive, cost-effective, and provides real-time, dynamic information. However, interpreting these images requires significant expertise, which may not be available in all environments. Professor Fontanarosa is developing deep-learning models that can segment ultrasound images for faster and more accurate diagnosis of conditions such as fluid on the lungs. He is also creating models that identify and track anatomical structures for applications such as surgery and radiation therapy, where precise targeting is essential. This work could ultimately support the development of point-of-care systems that use AI to interpret ultrasounds in resource-limited situations, such as those faced by the military, first responders and people living in remote or developing regions.
Find Prof Fontanarosa’s QUT Academic Profile here.
Read and download the Precision Imaging Capability Statement
