Erratum: Deep Learning Detects Changes Indicative of Axial Spondyloarthritis at MRI of Sacroiliac Joints (Radiology DOI: 10.1148/radiol.212526)

Keno K. Bressem, Lisa C. Adams, Fabian Proft, Kay Geert A. Hermann, Torsten Diekhoff, Laura Spiller, Stefan M. Niehues, Marcus R. Makowski, Bernd Hamm, Mikhail Protopopov, Valeria Rios Rodriguez, Hildurn Haibel, Judith Rademacher, Murat Torgutalp, Robert G. Lambert, Xenofon Baraliakos, Walter P. Maksymowych, Janis L. Vahldiek, Denis Poddubny

Research output: Contribution to journalComment/debate

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Abstract

The following funding information was added: The German Spondyloarthritis Inception Cohort (GESPIC)-Ankylosing Spondylitis has been financially supported by the German Federal Ministry of Education and Research (Bundesministerium für Bildung und Forschung-BMBF) through the ArthroMark project (FKZ 01EC1401A). GESPIC-Crohn has been supported by the Clinical Research Unit grant from the Berlin Institute of Health. GESPIC-Uveitis has been supported by a research grant from AbbVie. Optimal Referral Strategy for Early Diagnosis of Axial Spondyloarthritis (OptiRef) has been supported by a research grant from Novartis. The Assessment of SpondyloArthritis international Society (ASAS) has supported the project with a research grant and provided access to the MRI scans from the ASAS classification cohort.

Original languageEnglish
Article numbere239007
JournalRadiology
Volume307
Issue number3
DOIs
StatePublished - May 2023

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