PuSH - Publication Server of Helmholtz Zentrum München

Xian, R.P.* ; Baker, N.R.* ; David, T.* ; Cui, Q.H.* ; Holmgren, A.J.* ; Bauer, S. ; Sushil, M.* ; Abbasi-Asl, R.*

Robustness tests for biomedical foundation models should tailor to specifications.

NPJ Digit. Med. 8:557 (2025)
Publ. Version/Full Text Research data DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
The rise of biomedical foundation models creates new hurdles in model testing and authorization, given their broad capabilities and susceptibility to complex distribution shifts. We suggest tailoring robustness tests according to task-dependent priorities and propose to integrate granular notions of robustness in a predefined specification to guide implementation. Our approach facilitates the standardization of robustness assessments in the model lifecycle and connects abstract AI regulatory frameworks with concrete testing procedures.
Altmetric
Additional Metrics?
[➜Log in]
Edit extra informations Login
Publication type Article: Journal article
Document type Comment, Opinion
ISSN (print) / ISBN 2398-6352
e-ISSN 2398-6352
Journal NPJ digital medicine
Quellenangaben Volume: 8, Issue: 1, Pages: , Article Number: 557 Supplement: ,
Publisher Nature Publishing Group
Publishing Place Heidelberger Platz 3, Berlin, 14197, Germany
Reviewing status Peer reviewed
Institute(s) Helmholtz Artifical Intelligence Cooperation Unit (HAICU)
Grants National Cancer Institute of the National Institutes of Health
Weill Neurohub