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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Identifiers and source
- Literature Corpus work
- 6abb8096-df21-5c86-9277-3f41a8ea1685
- DOI
- 10.1101/2025.03.18.25324193
