Detectable AI-Generated Text in the Journal of Craniofacial Surgery: A Comparison of 2014 and 2024 Publications
Detectable AI content in JCFS manuscripts increased modestly over the past decade, likely reflecting detection software behavior and evolving writing structure rather than widespread use of generative AI. Findings support cautious interpretation of AI-detection outputs and highlight the need for validated tools and thoughtful editorial policy development.
Authors
- Kongkrit Chaiyasate (ORCID: https://orcid.org/0000-0003-3825-6784)
- Tyler Tran (ORCID: https://orcid.org/0009-0009-4273-9237)
- Forrest Bohler
- Karam Hadid
- Spruha Joshi
- Samuel Gao
- James R Burmeister
Institutions
- Oakland University (US)
- Augusta University (US)
- Edward Via College of Osteopathic Medicine (US)
- McMaster University (CA)
Publication Details
- Journal
- Journal of Craniofacial Surgery
- Published
- 2025-12-31
- DOI
- https://doi.org/10.1097/scs.0000000000012366
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00