Toward automating GRADE classification: a proof-of-concept evaluation of an artificial intelligence-based tool for semiautomated evidence quality rating in systematic reviews
The results demonstrate the potential use of AI in assessing the quality of evidence. However, in consideration of the emphasis of the GRADE approach on subjectivity and understanding the context of evidence production, full automation of the classification process is not opportune. Nevertheless, the combination of the URSE-automated system with human evaluation or the integration of this tool into other platforms represents interesting directions for the future.
Authors
- Eduardo Sérgio da Silva (ORCID: https://orcid.org/0000-0001-7409-9216)
- Vinícius Silva Belo (ORCID: https://orcid.org/0000-0003-0183-1175)
- Álisson Oliveira dos Santos (ORCID: https://orcid.org/0000-0002-4648-9951)
- Tales Mota Machado (ORCID: https://orcid.org/0000-0003-0603-823X)
Institutions
- Universidade Federal de Ouro Preto (BR)
- Universidade Federal de Mato Grosso do Sul (BR)
- Federal University of São João del-Rei (BR)
- Fundação Oswaldo Cruz (BR)
Publication Details
- Journal
- BMJ evidence-based medicine
- Published
- 2025-04-07
- DOI
- https://doi.org/10.1136/bmjebm-2024-113123
- Primary Topic
- Meta-analysis and systematic reviews
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
- Conselho Nacional de Desenvolvimento Científico e Tecnológico
- Universidade Federal de Mato Grosso do Sul
- Universidade Federal de São João del-Rei