Important project of common European Interest TECH4CURE
Integrated Software
for Accelerated
Radiotherapy Planning
A unified, AI-assisted imaging and radiotherapy workflow platform that supports clinicians by accelerating image analysis, contouring, dose calculation, and treatment planning to mere minutes.
A unified, AI-assisted imaging and radiotherapy workflow platform that supports clinicians by accelerating image analysis, contouring, dose calculation, and treatment planning to mere minutes.
About the AMID project
Rethinking Radiotherapy
Planning Workflows
AMID, advanced Mobile Imaging system for real-time Diagnostics and Planning, is a European research and innovation project focused on improving how medical images are processed and used in radiotherapy treatment planning.
Knowledge Base
Project Knowledge
and Shared Resources
Here you can find publicly available
materials produced within the AMID project.
We Propose a Shift
in The Paradigm
Radiotherapy planning workflows have evolved incrementally over time. AMID examines whether a more integrated, software driven approach can address structural limitations in current clinical processes.
Research Direction
1
Intelligent automation
to reduce planning time
Reference architecture adaptable to any reactor concepts, supporting experimental facilities and commercial fusion power plants alike.
System Integration
2
Unified imaging
and planning workflow
By integrating image analysis, registration, contouring, and treatment planning into a coherent software pipeline, AMID aims to support faster and more informed clinical decisions.
Clinical Context
3
Workflow optimisation
for clinical environments
The platform will be designed to interoperate with existing healthcare systems, minimising handovers between staff and reducing administrative and technical bottlenecks in radiotherapy departments.
Positioning
Together, these collaborations position AMID within a pan-European research environment , combining expertise in radiotherapy, advanced software engineering, and AI research to address systemic challenges in cancer treatment workflows.
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