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Authors
Wind, Sebastian
Sopa, Jeta
Truhn, Daniel
Lotfinia, Mahshad
Nguyen, Tri-Thien
Bressem, Keno
Adams, Lisa
Rusu, Mirabela
Köstler, Harald
Wellein, Gerhard
Maier, Andreas
Tayebi Arasteh, Soroosh
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Funding
Funding for this research was provided by:
BayernKI
Deutsche Forschungsgemeinschaft (NE 2136/3-1, LI3893/6-1, TR 1700/7-1)
Deutsche Forschungsgemeinschaft (440719683)
German Federal Ministry of Education (TRANSFORM LIVER, 031L0312A; SWAG, 01KD2215B)
European Union’s Horizon Europe and innovation programme (ODELIA [Open Consortium for Decentralized Medical Artificial Intelligence], 101057091)
European Union (101079894)
Bayern Innovativ
German Federal Ministry of Education and Research
Max Kade Foundation
Wilhelm-Sander Foundation
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Article History
Received: 24 August 2025
Accepted: 4 December 2025
First Online: 22 December 2025
Competing interests
: S.W. is partially employed by DATEV eG, Germany. D.T. received honoraria for lectures by Bayer, G.E., Roche, AstraZeneca, and Philips and holds shares in StratifAI GmbH, Germany, and in Synagen GmbH, Germany. M.L. is employed by Generali Deutschland Services GmbH, Germany and is an editorial board at European Radiology Experimental. K.B. and L.A. are trainee editorial boards at Radiology: Artificial Intelligence. A.M. is an associate editor at IEEE Transactions on Medical Imaging. S.T.A. is an editorial board at Communications Medicine and at European Radiology Experimental, a trainee editorial board at Radiology: Artificial Intelligence, and was partially employed by Synagen GmbH, Germany. The other authors do not have any competing interests to disclose.
