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Benchmarking Large Language Models for Italian Medical Text Classification: Are Generative Models the Best Choice?

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Title: Benchmarking Large Language Models for Italian Medical Text Classification: Are Generative Models the Best Choice?
Authors: Lilli L; Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.; Catholic University of the Sacred Heart, Rome, Italy., Patarnello S; Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy., Masciocchi C; Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy., Marchetti A; Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy., Arcuri G; Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
Source: Studies in health technology and informatics [Stud Health Technol Inform] 2025 Oct 02; Vol. 332, pp. 12-16.
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="%22Lilli+L%22">Lilli L</searchLink>; Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.; Catholic University of the Sacred Heart, Rome, Italy.<br /><searchLink fieldCode="AU" term="%22Patarnello+S%22">Patarnello S</searchLink>; Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.<br /><searchLink fieldCode="AU" term="%22Masciocchi+C%22">Masciocchi C</searchLink>; Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.<br /><searchLink fieldCode="AU" term="%22Marchetti+A%22">Marchetti A</searchLink>; Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.<br /><searchLink fieldCode="AU" term="%22Arcuri+G%22">Arcuri G</searchLink>; Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
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  Data: <searchLink fieldCode="JN" term="%229214582%22">Studies in health technology and informatics</searchLink> [Stud Health Technol Inform] 2025 Oct 02; Vol. 332, pp. 12-16.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22IOS+Press%22">IOS Press </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>9214582 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1879-8365 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209269630%22">09269630 </searchLink><i>NLM ISO Abbreviation: </i>Stud Health Technol Inform <i>Subsets: </i>MEDLINE
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        Value: 10.3233/SHTI251486
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      – Code: eng
        Text: English
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              Text: 2025 Oct 02
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