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Stakeholder-centered Design of Explainable AI for MRI analysis in Multiple Sclerosis: Generative insights toward clinical integration
2026·0 Zitationen·Zenodo (CERN European Organization for Nuclear Research)Open Access
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Zitationen
22
Autoren
2026
Jahr
Abstract
This is a preprint of an article submitted for consideration in PLOS Digital Health
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Autoren
- Margherita Motta
- Wen Zhan
- Nataliia Molchanova
- Federico Spagnolo
- Sebastian Baez Lugo
- Evans Clara
- Pedro M. Gordaliza
- Alessandro Cagol
- Amin Dabiri
- Silvia Pistocchi
- Matthias A. Mutke
- Lluís Borràs Ferrís
- Chao Jason
- Mauricio Reyes
- Esther Ruberte
- Frederic Erard
- Nicolas Henchoz
- Henning Müller
- Cristina Granziera
- Adrien Depeursinge
- Meritxell Bach Cuadra
- Delphine Ribes
Institutionen
- École Polytechnique Fédérale de Lausanne(CH)
- HES-SO University of Applied Sciences and Arts Western Switzerland(CH)
- HES-SO Valais-Wallis(CH)
- Centre d'Imagerie BioMedicale(CH)
- University of Lausanne(CH)
- University of Basel(CH)
- University Hospital of Basel(CH)
- University of Genoa(IT)
- Politecnico di Milano(IT)
- University of Bern(CH)
- Bern University of Applied Sciences(CH)
- University Hospital of Bern(CH)
- University of Geneva(CH)
- Hôpital de Sion(CH)
- University Hospitals Geneva Medical Center(US)
- University Hospital of Lausanne(CH)
Themen
Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare