Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Embracing the use of artificial intelligence in scientific publishing
3
Zitationen
10
Autoren
2024
Jahr
Abstract
Generative artificial intelligence (AI) tools such as large language models (LLM) have begun to transform many industries, including health care. Scientific publishing is no exception. AI has the potential to revolutionize scientific publishing by enhancing various stages of the publication process, including manuscript screening, peer review, and content generation. AI-driven tools can analyze large datasets, identify trends, and generate hypotheses, significantly accelerating the research process. Additionally, AI can assist in the writing of scientific papers, providing researchers with tools to organize information, generate coherent narratives, and even predict peer review outcomes.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.260 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.116 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.493 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 · 5.438 Zit.