Refining AI-assisted abstract screening: ChatGPT’s performance and the impact of structured eligibility criteria
Year: 2025
Type: conference-paper
Abstract: Background/research question: Scoping reviews are labor-intensive, particularly during the initial screening phase. Given the exponential growth in the absolute number of publications, time spent on conducting scoping reviews is expected to increase. While systematic reviews are frequently supported [for full text, please go to the a.m. URL]
DOI: 10.3205/25ebm013
Authors: Nordmann, Kim, Fischer, Florian
Institution: Kempten University of Applied Sciences
Language: English
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W6946354397
FWCI:
Cites:
Cited by:
Related to:
