A Comparative Review of Imaging Journal Policies for Use of AI in Manuscript Generation.

Journal: Academic radiology
PMID:

Abstract

RATIONALE AND OBJECTIVES: Artificial intelligence (AI) technologies are rapidly evolving and offering new advances almost on a day-by-day basis, including various tools for manuscript generation and modification. On the other hand, these potentially time- and effort-saving solutions come with potential bias, factual error, and plagiarism risks. Some journals have started to update their author guidelines in reference to AI-generated or AI-assisted manuscripts. The purpose of this paper is to evaluate author guidelines for including AI use policies in radiology journals and compare scientometric data between journals with and without explicit AI use policies.

Authors

  • Onur Simsek
    Division of Neuroradiology, Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA (O.S., A.M., A.V.). Electronic address: simseko@chop.edu.
  • Amirreza Manteghinejad
    Division of Neuroradiology, Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA (O.S., A.M., A.V.).
  • Arastoo Vossough
    Division of Radiology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.