Artificial Intelligence–Generated Editorials in Radiology: Can Expert Editors Detect Them?
GPT-4 can write high-quality articles that iThenticate does not flag as plagiarized, which may go undetected by editors, and that detection tools can detect to a limited extent. Editors showed a positive bias toward human-written articles.
Authors
- Bryan A. Comstock (ORCID: https://orcid.org/0000-0003-2599-1608)
- Burak Berksu Ozkara (ORCID: https://orcid.org/0000-0002-8769-3342)
- Alexandre Boutet (ORCID: https://orcid.org/0000-0001-6942-5195)
- Lubdha M. Shah (ORCID: https://orcid.org/0000-0003-1303-3533)
- Max Wintermark (ORCID: https://orcid.org/0000-0002-6726-3951)
- Johan Van Goethem (ORCID: https://orcid.org/0000-0003-3993-4583)
- Luca Saba (ORCID: https://orcid.org/0000-0003-2870-3771)
- Thierry A.G.M. Huisman (ORCID: https://orcid.org/0000-0003-2302-6724)
- Jeffrey S. Ross (ORCID: https://orcid.org/0000-0001-8494-2596)
- Maurício Castillo (ORCID: https://orcid.org/0000-0003-2960-1064)
Institutions
- University of North Carolina at Chapel Hill (US)
- The University of Texas MD Anderson Cancer Center (US)
- University of Cagliari (IT)
- University of Toronto (CA)
- University of Washington (US)
- University of Utah (US)
- Cancer Research And Biostatistics (US)
- Antwerp University Hospital (BE)
- Mayo Clinic in Arizona (US)
- Mayo Clinic Hospital (US)
- Texas Children's Hospital (US)
Publication Details
- Journal
- American Journal of Neuroradiology
- Published
- 2024-09-17
- DOI
- https://doi.org/10.3174/ajnr.a8505
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.12