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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

7 Scopus citations

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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