Refining AI-assisted abstract screening: ChatGPT’s performance and the impact of structured eligibility criteria

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]

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Publication Details

Journal
German Medical Science (German Research Foundation)
Published
2025-03-27
DOI
https://doi.org/10.3205/25ebm013
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Refining AI-assisted abstract screening: ChatGPT’s performance and the impact of structured eligibility criteria

German Medical Science (German Research Foundation)
Artificial Intelligence in Healthcare and Education
article

Refining AI-assisted abstract screening: ChatGPT’s performance and the impact of structured eligibility criteria

article en

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]

German Medical Science (German Research Foundation)
Kempten University of Applied Sciences (DE)
Decent work and economic growth
Openalex Percentile: Top 57%
Artificial Intelligence in Healthcare and Education
DOIOpen Access PDFOpenAlex
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Refining AI-assisted abstract screening: ChatGPT’s performance and the impact of structured eligibility criteria · German Medical Science (German Research Foundation) (2025) | TGRS Research Map | TGRS