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Large language models (LLMs) such as ChatGPT have shown significant potential in radiology. Their effectiveness often depends on prompt engineering, which optimizes the interaction with the chatbot for accurate results. Here, we highlight the critical role of prompt engineering in tailoring the LLMs' responses to specific medical tasks.
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Russe et al. (Mon,) studied this question.
www.synapsesocial.com/papers/68e777acb6db6435876ec9d7 — DOI: https://doi.org/10.1055/a-2264-5631
Maximilian Frederik Russe
Marco Reisert
Fabian Bamberg
RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren
University Medical Center Freiburg
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