Leuven University Hospitals (UZ Leuven)
AI organ contouring for head-and-neck radiotherapy
UZ Leuven reported about 33% faster organ contouring with AI and physician review
Problem
Radiotherapy planning required doctors to mark organs on CT images so treatment could spare healthy tissue. Manual contouring took time and varied between clinicians.
Approach
UZ Leuven clinicians and medical physicists worked with KU Leuven engineers to build a deep-learning tool. They tested it in the laboratory before introducing it into clinical practice. Doctors reviewed and corrected the generated contours, and the hospital reported daily use.
Results
Takeaway
The reported speed improvement included physician review and corrections. Human checking remained part of the clinical workflow.
Categories
- Size
- Large enterprise
- Industry
- Healthcare and life sciences
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Computer vision
- Adoption
- Partner co-development
- Evidence
- Company's own claim
Sources
Source summaries
UZ Leuven described daily clinical use of AI-assisted organ contouring. It reported approximately 33% faster work in a comparison involving experienced radiation oncologists.
Full details are in the original sources.