Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Development and evaluation of prompts for a large language model to screen titles and abstracts in a living systematic review
3
Zitationen
24
Autoren
2025
Jahr
Abstract
Refined GPT-4o prompts demonstrated high sensitivity and moderate specificity while reducing human workload. This approach shows potential for integrating LLMs into systematic review workflows to enhance efficiency.
Ähnliche Arbeiten
The PRISMA 2020 statement: an updated guideline for reporting systematic reviews
2021 · 84.856 Zit.
Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement
2009 · 82.787 Zit.
The Measurement of Observer Agreement for Categorical Data
1977 · 76.851 Zit.
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement
2009 · 62.738 Zit.
Measuring inconsistency in meta-analyses
2003 · 61.458 Zit.
Autoren
- Ava Homiar
- James D. Thomas
- Edoardo G. Ostinelli
- Jaycee Kennett
- Claire Friedrich
- Pim Cuijpers
- Mathias Harrer
- Stefan Leucht
- Clara Miguel
- Alessandro Rodolico
- Yuki Kataoka
- T. Takayama
- Kenichi Yoshimura
- Ryuhei So
- Yasushi Tsujimoto
- Yosuke Yamagishi
- Shiro Takagi
- Masatsugu Sakata
- Đorđe Bašić
- Eirini Karyotaki
- Jennifer Potts
- Georgia Salanti
- Toshi A. Furukawa
- Andrea Cipriani
Institutionen
- Beth Israel Deaconess Medical Center(US)
- University of Oxford(GB)
- University College London(GB)
- Vrije Universiteit Amsterdam(NL)
- Technical University of Munich(DE)
- Kyoto Min-iren Asukai Hospital
- Santen (Japan)(JP)
- Kyoto University(JP)
- Okayama Psychiatric Medical Center(JP)
- Bunkyo University(JP)
- The University of Tokyo(JP)
- Nagoya City University(JP)
- Oxford BioMedica (United Kingdom)(GB)
- University of Bern(CH)