Medical Entity Linking in Low-Resource Settings with Fine-Tuning-Free LLMs.
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| Title: | Medical Entity Linking in Low-Resource Settings with Fine-Tuning-Free LLMs. |
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| Authors: | Seeha S; Chair of Medical Informatics, Institute of AI and Informatics in Medicine (AIIM), TUM University Hospital, Technical University of Munich, Munich, Germany., Boeker M; Chair of Medical Informatics, Institute of AI and Informatics in Medicine (AIIM), TUM University Hospital, Technical University of Munich, Munich, Germany., Modersohn L; Chair of Medical Informatics, Institute of AI and Informatics in Medicine (AIIM), TUM University Hospital, Technical University of Munich, Munich, Germany. |
| Source: | Studies in health technology and informatics [Stud Health Technol Inform] 2025 Sep 03; Vol. 331, pp. 245-254. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1879-8365 |
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| DOI: | 10.3233/SHTI251402 |
