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Large language models in radiology: fundamentals, applications, ethical considerations, risks, and future directions

With the advent of large language models (LLMs), the artificial intelligence revolution in medicine and radiology is now more tangible than ever. Every day, an increasingly large number of articles are published that utilize LLMs in radiology. To adopt and safely implement this new technology in the...

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Bibliografische gegevens
Hoofdauteurs: Tugba Akinci D’Antonoli, Arnaldo Stanzione, Christian Bluethgen, Federica Vernuccio, Lorenzo Ugga, Michail E. Klontzas, Renato Cuocolo, Roberto Cannella, Burak Koçak
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Turkish Society of Radiology 2024-03-01
Reeks:Diagnostic and Interventional Radiology
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Online toegang: http://www.dirjournal.org/archives/archive-detail/article-preview/large-language-models-in-radiology-fundamentals-ap/62426
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