Assessing radiology research on artificial intelligence: A brief guide for authors, reviewers, and readers-from the Radiology Editorial Board

David A. Bluemke, Linda Moy, Miriam A. Bredella, Birgit B. Ertl-Wagner, Kathryn J. Fowler, Vicky J. Goh, Elkan F. Halpern, Christopher P. Hess, Mark L. Schiebler, Clifford R. Weiss

Research output: Contribution to journalEditorial

Original languageEnglish (US)
Pages (from-to)487-489
Number of pages3
JournalRADIOLOGY
Volume294
Issue number2
DOIs
StatePublished - Jan 1 2020

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Cite this

Bluemke, D. A., Moy, L., Bredella, M. A., Ertl-Wagner, B. B., Fowler, K. J., Goh, V. J., Halpern, E. F., Hess, C. P., Schiebler, M. L., & Weiss, C. R. (2020). Assessing radiology research on artificial intelligence: A brief guide for authors, reviewers, and readers-from the Radiology Editorial Board. RADIOLOGY, 294(2), 487-489. https://doi.org/10.1148/radiol.2019192515