Automated assessment of brain MRIs in multiple sclerosis patients significantly reduces reading time
We found that AI-assisted reading of MRIs of patients with MS may be faster than evaluating these MRIs without AI-assistance.
Authors
- Urs Fischer (ORCID: https://orcid.org/0000-0003-0521-4051)
- Bram Stieltjes (ORCID: https://orcid.org/0000-0002-5961-802X)
- D L Nguyen-Kim
- Philippe Claude Cattin (ORCID: https://orcid.org/0000-0001-8785-2713)
- Shan Yang (ORCID: https://orcid.org/0000-0002-5209-0576)
- Thilo Rusche (ORCID: https://orcid.org/0000-0002-8712-5759)
- Marios‐Nikos Psychogios (ORCID: https://orcid.org/0000-0002-0016-414X)
- Peter Bernhard Sporns (ORCID: https://orcid.org/0000-0002-3028-0539)
- Johanna Lieb (ORCID: https://orcid.org/0000-0003-0821-3257)
- Stefano Trebeschi (ORCID: https://orcid.org/0000-0002-5714-289X)
- Victoria Sieber
Institutions
- Universität Hamburg (DE)
- University of Basel (CH)
- University Hospital of Basel (CH)
- The Netherlands Cancer Institute (NL)
- Maastricht University (NL)
- University Medical Center Hamburg-Eppendorf (DE)
- Oncode Institute (NL)
- Stadtspital Waid (CH)
Publication Details
- Journal
- Neuroradiology
- Published
- 2024-11-08
- DOI
- https://doi.org/10.1007/s00234-024-03497-7
- Citations
- 5
- Primary Topic
- Multiple Sclerosis Research Studies
- Type
- article
- Field-Weighted Citation Impact
- 2.12
Funders
- Universität Basel