Influence of structured output constraints on GPT-5-Thinking, Gemini 2.5 Pro, and open-weight LLMs for radiology protocol selection
Influence of structured output constraints on GPT-5-Thinking, Gemini 2.5 Pro, and open-weight LLMs for radiology protocol selection
M. Bahaaeldin,Sebastian Nowak,7 Authors,N. Mesropyan
2026 · DOI: 10.1186/s41747-026-00712-3
European Radiology Experimental · 0 Citations
TLDR
Proprietary LLMs achieved the highest accuracy in RRF-based protocol selection and improved first-year resident performance to an experienced-resident level, highlighting the need for model-specific prompting strategies before adopting LLMs in radiology decision support.
