Artificial intelligence policies in neurology journals: a cross-sectional analysis
AI-related policies are common among neurology journals but remain heterogeneous and inconsistently aligned with established ethical and methodological standards. These findings highlight opportunities to strengthen transparency and research integrity as AI becomes increasingly integrated into neurological science. Neurology journals should consider adopting standardized requirements for AI-use disclosure and explicitly endorsing AI-specific reporting frameworks to harmonize expectations and improve reproducibility.
Authors
- Taylor Gardner (ORCID: https://orcid.org/0000-0002-7505-4092)
- Alicia Ito Ford (ORCID: https://orcid.org/0000-0002-6866-2639)
- Jillian Brassfield
- Kohl Kirby
- Noah Calvert
- Andrew V. Tran
- Matt Vassar
- Patrick Crotty
- Alec Young
- Kaylyn Rowsey
Institutions
- Oklahoma State University Center for Health Sciences (US)
Publication Details
- Journal
- Frontiers in Neurology
- Published
- 2026-02-17
- DOI
- https://doi.org/10.3389/fneur.2026.1766696
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00