Large language models for structured cardiovascular data extraction: a foundation for scalable research and clinical applications
Large language models can reliably classify structured cardiology reports across diverse computed infrastructures. Their accuracy and adaptability support their use in clinical and research settings, particularly for scalable report structuring and dataset generation.
Authors
- Marius Staring (ORCID: https://orcid.org/0000-0003-2885-5812)
- Tim van den Broek (ORCID: https://orcid.org/0000-0002-7082-2179)
- Roderick W.C. Scherptong (ORCID: https://orcid.org/0000-0001-9125-4601)
- Douwe E. Atsma (ORCID: https://orcid.org/0000-0002-9664-2985)
- Viktor van der Valk (ORCID: https://orcid.org/0000-0002-8077-9274)
- Wouter van der Loo (ORCID: https://orcid.org/0000-0002-7193-7330)
Institutions
- Netherlands Organisation for Applied Scientific Research (NL)
- Leiden University Medical Center (NL)
Publication Details
- Journal
- European Heart Journal - Digital Health
- Published
- 2025-11-14
- DOI
- https://doi.org/10.1093/ehjdh/ztaf127
- Citations
- 1
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 2.48