Best Practices for Large Language Models in Radiology

Understand

At the heart of radiological practice is the challenge of integrating complex imaging data with clinical information to produce actionable insights.

• Nuanced application of language is key for various activities, including managing requests, describing and interpreting imaging findings in the context of clinical data, and concisely documenting and communicating the outcomes.
• The emergence of large language models (LLMs) offers an opportunity to improve the management and interpretation of the vast data in radiology.
• Despite being primarily general-purpose, these advanced computational models demonstrate impressive capabilities in specialized language-related tasks, even without specific training.