The role of trustworthy and reliable AI for multiple sclerosis
- Author
- Lorin Werthen-Brabants (UGent) , Tom Dhaene (UGent) and Dirk Deschrijver (UGent)
- Organization
- Project
- Abstract
- This paper investigates the importance of Trustworthy Machine Learning (ML) in the context of Multiple Sclerosis (MS) research and care. Due to the complex and individual nature of MS, the need for reliable and trustworthy ML models is essential. In this paper, key aspects of trustworthy ML, such as out-of-distribution generalization, explainability, uncertainty quantification and calibration are explored, highlighting their significance for healthcare applications. Challenges in integrating these ML tools into clinical workflows are addressed, discussing the difficulties in interpreting AI outputs, data diversity, and the need for comprehensive, quality data. It calls for collaborative efforts among researchers, clinicians, and policymakers to develop ML solutions that are technically sound, clinically relevant, and patient-centric.
- Keywords
- artificial intelligence, multiple sclerosis, trustworthy AI, deep learning, uncertainty quantification, HEALTH-CARE, UNCERTAINTY
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01JRSX9M6GKV5BT34H1GS3T4VA
- MLA
- Werthen-Brabants, Lorin, et al. “The Role of Trustworthy and Reliable AI for Multiple Sclerosis.” FRONTIERS IN DIGITAL HEALTH, vol. 7, 2025, doi:10.3389/fdgth.2025.1507159.
- APA
- Werthen-Brabants, L., Dhaene, T., & Deschrijver, D. (2025). The role of trustworthy and reliable AI for multiple sclerosis. FRONTIERS IN DIGITAL HEALTH, 7. https://doi.org/10.3389/fdgth.2025.1507159
- Chicago author-date
- Werthen-Brabants, Lorin, Tom Dhaene, and Dirk Deschrijver. 2025. “The Role of Trustworthy and Reliable AI for Multiple Sclerosis.” FRONTIERS IN DIGITAL HEALTH 7. https://doi.org/10.3389/fdgth.2025.1507159.
- Chicago author-date (all authors)
- Werthen-Brabants, Lorin, Tom Dhaene, and Dirk Deschrijver. 2025. “The Role of Trustworthy and Reliable AI for Multiple Sclerosis.” FRONTIERS IN DIGITAL HEALTH 7. doi:10.3389/fdgth.2025.1507159.
- Vancouver
- 1.Werthen-Brabants L, Dhaene T, Deschrijver D. The role of trustworthy and reliable AI for multiple sclerosis. FRONTIERS IN DIGITAL HEALTH. 2025;7.
- IEEE
- [1]L. Werthen-Brabants, T. Dhaene, and D. Deschrijver, “The role of trustworthy and reliable AI for multiple sclerosis,” FRONTIERS IN DIGITAL HEALTH, vol. 7, 2025.
@article{01JRSX9M6GKV5BT34H1GS3T4VA,
abstract = {{This paper investigates the importance of Trustworthy Machine Learning (ML) in the context of Multiple Sclerosis (MS) research and care. Due to the complex and individual nature of MS, the need for reliable and trustworthy ML models is essential. In this paper, key aspects of trustworthy ML, such as out-of-distribution generalization, explainability, uncertainty quantification and calibration are explored, highlighting their significance for healthcare applications. Challenges in integrating these ML tools into clinical workflows are addressed, discussing the difficulties in interpreting AI outputs, data diversity, and the need for comprehensive, quality data. It calls for collaborative efforts among researchers, clinicians, and policymakers to develop ML solutions that are technically sound, clinically relevant, and patient-centric.}},
articleno = {{1507159}},
author = {{Werthen-Brabants, Lorin and Dhaene, Tom and Deschrijver, Dirk}},
issn = {{2673-253X}},
journal = {{FRONTIERS IN DIGITAL HEALTH}},
keywords = {{artificial intelligence,multiple sclerosis,trustworthy AI,deep learning,uncertainty quantification,HEALTH-CARE,UNCERTAINTY}},
language = {{eng}},
pages = {{6}},
title = {{The role of trustworthy and reliable AI for multiple sclerosis}},
url = {{http://doi.org/10.3389/fdgth.2025.1507159}},
volume = {{7}},
year = {{2025}},
}
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