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SwitzerlandHealthcare and life sciences2024 – ongoing

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

WorkingCompany's own claimOfficial ↗

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

~40%time saved when analyzing follow-up MRI examinations in a clinical study, according to the hospitalCompany's own claim[1]

Takeaway

The reported time saving concerned follow-up scan analysis in a clinical study. It did not establish a hospital-wide productivity gain.

Categories

Business function
Production and quality
Innovation type
Process innovation
AI technology
Computer vision
Evidence
Company's own claim

Sources

  1. Künstliche Intelligenz unterstützt MS-Diagnostik
    University Hospital Basel14 Nov 2024Company publication
  2. Annual Report 2024
    University of Basel, Department of Biomedical Engineering2025Research paper or report

Source summaries

[1]University Hospital Basel14 Nov 2024

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.

[2]University of Basel, Department of Biomedical Engineering2025

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.

Added 1 Nov 2026 · Updated 1 Nov 2026
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