Subscribe to RSS
Please copy the URL and add it into your RSS Feed Reader.
https://www.thieme-connect.de/rss/thieme/en/10.1055-s-00000066.xml
Download PDF
Rofo 2025; 197(01): 77
DOI: 10.1055/a-2295-3776
DOI: 10.1055/a-2295-3776
Letter to the Editor
Enhancing LLM Application in Radiology: A Call for Expanded Research and Comparative Analysis
Verbesserung der Nutzung von Großen Sprachmodellen in der Radiologie: Notwendigkeit von weiterer Forschung und vergleichenden AnalysenAuthors
Publication History
Received: 15 April 2024
Accepted: 18 April 2024
Article published online:
14 May 2024
© 2024. Thieme. All rights reserved.
Georg Thieme Verlag KG
Oswald-Hesse-Straße 50, 70469 Stuttgart, Germany
-
References
- 1 Russe MF, Reisert M, Bamberg F. et al. Improving the use of LLMs in radiology through prompt engineering: from precision prompts to zero-shot learning. Rofo 2024;
- 2 Rau A, Rau S, Zoeller D. et al. A Context-based Chatbot Surpasses Trained Radiologists and Generic ChatGPT in Following the ACR Appropriateness Guidelines. Radiology 2023; 308 (01) e230970
- 3 Russe MF, Fink A, Ngo H. et al. Performance of ChatGPT, human radiologists, and context-aware ChatGPT in identifying AO codes from radiology reports. Sci Rep 2023; 13 (01) 14215