AI in radiological imaging of soft-tissue and bone tumours: a systematic review evaluating against CLAIM and FUTURE-AI guidelines

Spaanderman, D.J., Marzetti, M., Wan, X. et al. (13 more authors) (2025) AI in radiological imaging of soft-tissue and bone tumours: a systematic review evaluating against CLAIM and FUTURE-AI guidelines. EBioMedicine, 114. 105642. ISSN 2352-3964

Abstract

Metadata

Item Type: Article
Authors/Creators:
  • Spaanderman, D.J.
  • Marzetti, M.
  • Wan, X.
  • Scarsbrook, A.F. ORCID logo https://orcid.org/0000-0002-4243-032X
  • Robinson, P.
  • Oei, E.H.G.
  • Visser, J.J.
  • Hemke, R.
  • van Langevelde, K.
  • Hanff, D.F.
  • van Leenders, G.J.L.H.
  • Verhoef, C.
  • Grünhagen, D.J.
  • Niessen, W.J.
  • Klein, S.
  • Starmans, M.P.A.
Copyright, Publisher and Additional Information:

© 2025 The Author(s). This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: Systematic review; Soft-tissue and bone tumours; Radiological imaging; Artificial intelligence; Medical image analysis; FUTURE-AI; CLAIM
Dates:
  • Accepted: 27 February 2025
  • Published (online): 20 March 2025
  • Published: April 2025
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Inst of Biomed & Clin Sciences (LIBACS) (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 19 May 2025 15:00
Last Modified: 19 May 2025 15:00
Status: Published
Publisher: Elsevier
Identification Number: 10.1016/j.ebiom.2025.105642
Open Archives Initiative ID (OAI ID):

Export

Statistics