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Editorial: Advances in artificial intelligence and machine learning applications for the imaging of bone and soft tissue tumors.

Authors :
Fields BKK
Varghese BA
Matcuk GR Jr
Source :
Frontiers in radiology [Front Radiol] 2024 Dec 17; Vol. 4, pp. 1523389. Date of Electronic Publication: 2024 Dec 17 (Print Publication: 2024).
Publication Year :
2024

Abstract

Competing Interests: BKKF received prior research grants from the RSNA R&E (2019-2020 RMS #1909; 2018-2019 RMS #1810); consulting fees from Mendaera; honorarium payments from Neurodiem (invited author) and Elsevier (book proposal reviews); RSNA and institutional support for attending meetings (RSNA RFC stipend, institutional support stipend); Vice-Chair of the RSNA Resident and Fellow Committee; member of the American Board of Radiology Initial Certification Advisory Committee for Diagnostic Radiology, of the RSNA Education Council, and of the Radiology: Imaging Cancer Trainee Editorial Board. GRM is a consultant for Canon Medical Systems, USA. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The authors BKKF, BAV, and GRM declared that they were editorial board members of Frontiers at the time of submission. This had no impact on the peer review process and the final decision.

Details

Language :
English
ISSN :
2673-8740
Volume :
4
Database :
MEDLINE
Journal :
Frontiers in radiology
Publication Type :
Editorial & Opinion
Accession number :
39742350
Full Text :
https://doi.org/10.3389/fradi.2024.1523389