Auto-METRICS: LLM-assisted scientific quality control for radiomics research
LLMs can assist in standardized radiomics quality assessment. Open privacy-preserving models can offer comparable performance to commercial cloud-based LLMs, suggesting their utility in supporting human raters for evaluating radiomics research integrity.
Authors
- Nickolas Papanikolaou (ORCID: https://orcid.org/0000-0003-3298-2072)
- José Guilherme de Almeida (ORCID: https://orcid.org/0000-0002-1887-0157)
Institutions
- Champalimaud Foundation (PT)
- Royal Marsden NHS Foundation Trust (GB)
Publication Details
- Journal
- European Journal of Radiology
- Published
- 2025-08-08
- DOI
- https://doi.org/10.1016/j.ejrad.2025.112358
- Citations
- 3
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 4.08