The challenge

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.

ASSIST concept

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.


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.