Advancing Healthcare with Wearable Ultrasound: Autonomous Imaging for Remote and Space Applications
Ultrasound imaging is a key modality in diagnostic medicine due to its safety, portability, and real-time capabilities. In recent years, the field has progressed from conventional cart-based systems to handheld devices, and is currently advancing toward wearable platforms that enable continuous and autonomous imaging.
This talk will provide an overview of this technological evolution, with a focus on the emerging domain of wearable ultrasound. Current trends in technological development will be discussed, along with the broad potential of wearable systems for clinical applications. The second part of the presentation will highlight research conducted by our CSIRO-QUT group on the development of a fully autonomous wearable ultrasound system, including advances in hardware and the integration of image analysis and artificial intelligence for automated interpretation. Concluding remarks will address key challenges and future directions for wearable ultrasound technologies.
Date and Time
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- Owen J. Wordsworth (OJW) Room, GP-S-1215, Level 12, S block, QUT Garden Points campus
- QUT Garden Points campus
- Brisbane, Queensland
- Australia 4000
- Starts 20 July 2025 02:00 PM UTC
- Ends 20 August 2025 04:00 AM UTC
- No Admission Charge
Speakers
Maria
Biography:
Since 2021, Maria has focused on wearable ultrasound technologies, initially through a Postdoctoral Fellowship at the Centre for Biomedical Technologies (QUT) and currently as a CERC Postdoctoral Fellow in Medical Image Analysis at the Australian e-Health Research Centre (CSIRO). Her work involves developing fully autonomous wearable ultrasound systems, combining cutting-edge hardware with AI-driven image analysis.
Maria aims at advancing automatic quantitative ultrasound to support clinicians and broadening the impact of this technology for enhanced patient care. Her goal is to make a tangible difference in healthcare by leveraging her expertise in medical imaging and AI.
Maria of Commonwealth Scientific and Industrial Research Organisation (CSIRO)
Advancing Healthcare with Wearable Ultrasound: Autonomous Imaging for Remote and Space Applications
Ultrasound imaging is a key modality in diagnostic medicine due to its safety, portability, and real-time capabilities. In recent years, the field has progressed from conventional cart-based systems to handheld devices, and is currently advancing toward wearable platforms that enable continuous and autonomous imaging.
This talk will provide an overview of this technological evolution, with a focus on the emerging domain of wearable ultrasound. Current trends in technological development will be discussed, along with the broad potential of wearable systems for clinical applications. The second part of the presentation will highlight research conducted by our CSIRO-QUT group on the development of a fully autonomous wearable ultrasound system, including advances in hardware and the integration of image analysis and artificial intelligence for automated interpretation. Concluding remarks will address key challenges and future directions for wearable ultrasound technologies.
Biography:
Maria Antico holds a B.Eng. degree in Engineering Sciences from the University of Rome Tor Vergata, Italy (2014), and an M.Eng. degree in Biomechanical Engineering from the Technical University of Delft, The Netherlands (2016). She earned her PhD in Medical Robotics from Queensland University of Technology (QUT), Australia (2021), specialising in ultrasound-based autonomous robotic guidance.
Since 2021, Maria has focused on wearable ultrasound technologies, initially through a Postdoctoral Fellowship at the Centre for Biomedical Technologies (QUT) and currently as a CERC Postdoctoral Fellow in Medical Image Analysis at the Australian e-Health Research Centre (CSIRO). Her work involves developing fully autonomous wearable ultrasound systems, combining cutting-edge hardware with AI-driven image analysis.
Maria aims at advancing automatic quantitative ultrasound to support clinicians and broadening the impact of this technology for enhanced patient care. Her goal is to make a tangible difference in healthcare by leveraging her expertise in medical imaging and AI.
Light refreshment will be provided.