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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Bibliographic Details
Main Authors: Tugba Akinci D’Antonoli, Arnaldo Stanzione, Christian Bluethgen, Federica Vernuccio, Lorenzo Ugga, Michail E. Klontzas, Renato Cuocolo, Roberto Cannella, Burak Koçak
Format: Article
Language:English
Published: Galenos Publishing House 2024-03-01
Series:Diagnostic and Interventional Radiology
Subjects:
Online Access: http://www.dirjournal.org/archives/archive-detail/article-preview/large-language-models-in-radiology-fundamentals-ap/62426