Automated anonymization of radiology reports: comparison of publicly available natural language processing and large language models.
| Publicado en: | European Radiology Vol. 35; no. 5; pp. 2634 - 2642 |
|---|---|
| Autores principales: | , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
May2025
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=184707036&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 184707036 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09387994 NPH jtl: European Radiology issn: 09387994 maglogo: N pubinfo: dt: May2025 vid: 35 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 184707036 180572861 10.1007/s00330-024-11148-x 184707036 ppf: 2634 ppct: 8 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Automated anonymization of radiology reports: comparison of publicly available natural language processing and large language models. aug: au: Langenbach, Marcel C. Foldyna, Borek Hadzic, Ibrahim Langenbach, Isabel L. Raghu, Vineet K. Lu, Michael T. Neilan, Tomas G. Heemelaar, Julius C. affil: https://ror.org/03vek6s52 Cardiovascular Imaging Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
|---|