AI text detection in dentistry: a comparative analysis across generative models
Res Integr Peer Rev. 2026 Jun 9. doi: 10.1186/s41073-026-00228-9. Online ahead of print. ABSTRACT BACKGROUND: Robust screening for AI-generated scientific text is increasingly required by journals, yet detector performance on full-length manuscripts remains unclear. Six widely used detectors were benchmarked on dentistry manuscripts, and performance was compared across state-of-the-art generators. METHODS: A total of 120…
