Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Mind the gap: A cross-sectional analysis of large language model guidance in emergency medicine journals
0
Zitationen
6
Autoren
2026
Jahr
Abstract
Emergency medicine publishing demonstrates significant variations and conflicting guidance in its governance of LLM use. Existing directives present contradictory rules for authors, editors, and reviewers on key issues like image generation and use in peer review. To close this critical guidance gap, a comprehensive, standardized framework is urgently needed to resolve these conflicts and foster the responsible integration of digital technologies into scholarly publishing.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.239 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.095 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.463 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.428 Zit.