Artificial Intelligence-Generated Editorials in Radiology: Can Expert Editors Detect Them?

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Bibliographic Details
Title: Artificial Intelligence-Generated Editorials in Radiology: Can Expert Editors Detect Them?
Authors: Ozkara BB; From the Department of Neuroradiology (B.B.O., M.W.), The University of Texas MD Anderson Center, Houston, Texas., Boutet A; Joint Department of Medical Imaging (A.B.), University of Toronto, Toronto, Ontario, Canada., Comstock BA; Department of Biostatistics (B.A.C.), University of Washington, Seattle, Washington., Van Goethem J; Department of Radiology (J.V.G.), Antwerp University Hospital, Antwerp, Belgium., Huisman TAGM; Department of Radiology (T.A.G.M.H.), Texas Children's Hospital and Baylor College of Medicine, Houston, Texas., Ross JS; Department of Radiology (J.S.R.), Mayo Clinic Arizona, Phoenix, Arizona., Saba L; Department of Radiology (L.S.), University of Cagliari, Cagliari, Italy., Shah LM; Department of Radiology (L.M.S.), University of Utah, Salt Lake City, Utah., Wintermark M; From the Department of Neuroradiology (B.B.O., M.W.), The University of Texas MD Anderson Center, Houston, Texas., Castillo M; Department of Radiology (M.C.), University of North Carolina School of Medicine, Chapel Hill, North Carolina mauricio_castillo@med.unc.edu.
Source: AJNR. American journal of neuroradiology [AJNR Am J Neuroradiol] 2025 Mar 04; Vol. 46 (3), pp. 559-566. Date of Electronic Publication: 2025 Mar 04.
Publication Type: Journal Article
Journal Info: Publisher: American Society of Neuroradiology Country of Publication: United States NLM ID: 8003708 Publication Model: Electronic Cited Medium: Internet ISSN: 1936-959X (Electronic) Linking ISSN: 01956108 NLM ISO Abbreviation: AJNR Am J Neuroradiol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1936-959X
DOI:10.3174/ajnr.A8505