A human-LLM collaborative annotation approach for screening articles on precision oncology randomized controlled trials

The human-LLM collaborative annotation method demonstrates potential for enhancing the efficiency and reliability of article screening, offering valuable support for systematic reviews and meta-analyses.

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Publication Details

Journal
BMC Medical Research Methodology
Published
2025-09-29
DOI
https://doi.org/10.1186/s12874-025-02674-3
Citations
2
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
1.61

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article

A human-LLM collaborative annotation approach for screening articles on precision oncology randomized controlled trials

Sheng Zheng, Xudong Lü, Huilong Duan, Hui Chen et al.
2 citations
BMC Medical Research Methodology
Biomedical Text Mining and Ontologies
1.61
article

A human-LLM collaborative annotation approach for screening articles on precision oncology randomized controlled trials

Sheng Zheng, Xudong Lü, Huilong Duan, Hui Chen, Xinyu Zhang, Jiale Zhao
article en
2 citations

Abstract

The human-LLM collaborative annotation method demonstrates potential for enhancing the efficiency and reliability of article screening, offering valuable support for systematic reviews and meta-analyses.

BMC Medical Research MethodologyVol. 25(1)
Zhejiang University (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 15%
Biomedical Text Mining and Ontologies
1.61
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