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Rofo
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 AnalysenPublication History
Received: 15 April 2024
Accepted: 18 April 2024
Article published online:
14 May 2024
© 2024. Thieme. All rights reserved.
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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; DOI: 10.1055/a-2264-5631.
- 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 DOI: 10.1148/radiol.230970. (PMID: 37489981)
- 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