Exploring Zero-Shot Cross-Lingual Biomedical Concept Normalization via Large Language Models.

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Title: Exploring Zero-Shot Cross-Lingual Biomedical Concept Normalization via Large Language Models.
Authors: Rouhizadeh H; Department of Radiology and Medical Informatics, Faculty of Medicine, University of Geneva, Geneva, Switzerland., Yazdani A; Department of Radiology and Medical Informatics, Faculty of Medicine, University of Geneva, Geneva, Switzerland., Zhang B; Department of Radiology and Medical Informatics, Faculty of Medicine, University of Geneva, Geneva, Switzerland., Teodoro D; Department of Radiology and Medical Informatics, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
Source: Studies in health technology and informatics [Stud Health Technol Inform] 2025 May 15; Vol. 327, pp. 788-792.
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
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  Data: <searchLink fieldCode="AU" term="%22Rouhizadeh+H%22">Rouhizadeh H</searchLink>; Department of Radiology and Medical Informatics, Faculty of Medicine, University of Geneva, Geneva, Switzerland.<br /><searchLink fieldCode="AU" term="%22Yazdani+A%22">Yazdani A</searchLink>; Department of Radiology and Medical Informatics, Faculty of Medicine, University of Geneva, Geneva, Switzerland.<br /><searchLink fieldCode="AU" term="%22Zhang+B%22">Zhang B</searchLink>; Department of Radiology and Medical Informatics, Faculty of Medicine, University of Geneva, Geneva, Switzerland.<br /><searchLink fieldCode="AU" term="%22Teodoro+D%22">Teodoro D</searchLink>; Department of Radiology and Medical Informatics, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
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        Value: 10.3233/SHTI250467
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        Text: English
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      – TitleFull: Exploring Zero-Shot Cross-Lingual Biomedical Concept Normalization via Large Language Models.
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            – D: 15
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              Text: 2025 May 15
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              Y: 2025
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