Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Evaluating the effectiveness of large language models in abstract screening: a comparative analysis
85
Zitationen
3
Autoren
2024
Jahr
Abstract
While LLM tools are not yet ready to completely replace human experts in abstract screening, they show great promise in revolutionizing the process. They can serve as autonomous AI reviewers, contribute to collaborative workflows with human experts, and integrate with hybrid approaches to develop custom tools for increased efficiency. As technology continues to advance, LLMs are poised to play an increasingly important role in abstract screening, reshaping the workflow of systematic review and meta-analysis studies.
Ähnliche Arbeiten
The PRISMA 2020 statement: an updated guideline for reporting systematic reviews
2021 · 85.301 Zit.
Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement
2009 · 82.806 Zit.
The Measurement of Observer Agreement for Categorical Data
1977 · 76.958 Zit.
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement
2009 · 62.803 Zit.
Measuring inconsistency in meta-analyses
2003 · 61.524 Zit.