Evaluating large language models for structuring cardiology reports: a real-world clinical study on patient subtyping and trial recruitment.
- DOI
- 10.1016/j.ijmedinf.2026.106509
- Published
- 2026 Sep 1
- Container
- International journal of medical informatics
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.ijmedinf.2026.106509,
title = {Evaluating large language models for structuring cardiology reports: a real-world clinical study on patient subtyping and trial recruitment.},
author = {Pescol F and Buonocore TM and Tibollo V and Failla G and Traversi E and La Rovere MT and Sacchi L and Ricciardi W and Bellazzi R},
year = {2026},
journal = {International journal of medical informatics},
doi = {10.1016/j.ijmedinf.2026.106509},
url = {https://doi.org/10.1016/j.ijmedinf.2026.106509}
}RIS
TY - JOUR TI - Evaluating large language models for structuring cardiology reports: a real-world clinical study on patient subtyping and trial recruitment. AU - Pescol F AU - Buonocore TM AU - Tibollo V AU - Failla G AU - Traversi E AU - La Rovere MT AU - Sacchi L AU - Ricciardi W AU - Bellazzi R PY - 2026 JO - International journal of medical informatics DO - 10.1016/j.ijmedinf.2026.106509 UR - https://doi.org/10.1016/j.ijmedinf.2026.106509 ER -
APA
F, P., TM, B., V, T., G, F., E, T., MT, L. R., L, S., W, R., & R, B. (2026). Evaluating large language models for structuring cardiology reports: a real-world clinical study on patient subtyping and trial recruitment.. International journal of medical informatics. https://doi.org/10.1016/j.ijmedinf.2026.106509
Source records
- pubmed · retrieved 2026-09-26T02:31:02.121Z