Image-guided therapy plays a key role in healthcare quality and personalisation and uses multiple imaging modalities during minimally-invasive surgery. The procedure however typically adds complexity:
- Physicians struggle with amount of data acquired while deriving meaningful insights,
- Overload of information and high level of manual interaction leads to fatigue,
- Risk of serious medical errors and overlooked abnormalities.
Provide physicians control of clinical procedures by assisting or partly automating their tasks during image-guided therapy.
- Precision diagnosis and personalised treatment planning technologies will automatically perform image segmentation and intuitively display relevant,
- Robotic systems will be combined and integrated with medical imaging equipment in order to assist physicians during device manipulation,
- Advanced 3D visualisation, augmented reality and virtual reality will create immersive medical images for the straightforward interpretation of complex anatomical structures and guidance during treatment.
Clinical Use cases
Results and impact
- Labour-intensive interpretation of multiple imaging and data sources
- Simplification of diagnosis and treatment
- Improved diagnoses and shorter, less invasive treatments with faster recovery times
ASSIST aims to reverse these trends to enable better health outcomes, lower costs and improved staff and patient experiences.