University Hospital Basel
MS-MD-GRU assistance for multiple-sclerosis MRI interpretation
University Hospital Basel reported about 40% less reading time for follow-up MS scans in a clinical study
Problem
Radiologists needed to identify multiple-sclerosis lesions on brain MRI scans. Introducing automated assistance also required clinical evaluation and authorization for hospital use.
Approach
The hospital evaluated MS-MD-GRU, an algorithm developed at the University of Basel that detected and marked lesions. It obtained authorization for in-house use and began integrating the software into radiology workflows. A subsequent university annual report confirmed clinical introduction, with radiologists able to correct the markings.
Results
Takeaway
The reported time saving concerned follow-up scan analysis in a clinical study. It did not establish a hospital-wide productivity gain.
Categories
- 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
The hospital reported about 40% less time spent analyzing follow-up scans in a clinical study. It also described authorization for in-house use and gradual workflow integration.
The development department confirmed clinical introduction of MS-MD-GRU at University Hospital Basel. Radiologists used images with automatically marked lesions and could correct those markings.
Full details are in the original sources.