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Article

Large Language Models in Radiology Reporting—A Systematic Review of Performance, Limitations, and Clinical Implications

2025-03-19

Abstract excerpt

<h4>Background</h4> Large language models (LLMs) have emerged as potential tools for automated radiology reporting. However, concerns regarding their fidelity, reliability, and clinical applicability remain. This systematic review examines the current literature on LLM-generated radiology reports. <h4>Methods</h4> We conducted a systematic search of MEDLINE, Google Scholar, Scopus, and Web of Science to identify...

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Literature Corpus work
6abb8096-df21-5c86-9277-3f41a8ea1685
DOI
10.1101/2025.03.18.25324193
Open publication

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Large Language Models in Radiology Reporting—A Systematic Review of Performance, Limitations, and Clinical ImplicationsDOI 10.1101/2025.03.18.25324193
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