Improving the use of LLMs in radiology through prompt engineering: from precision prompts to zero-shot learning.

  · Large language models might impact radiological practice and decision-masking.. · However, implementation and performance are dependent on the assigned task.. · Optimization of prompting strategies can substantially improve model performance.. · Strategies for prompt engineering range from precision prompts to zero-shot learning..