Error Detection in Emergency Radiology Reports Using a Large Language Model: Multistage Evaluation Study.

Checking your browser before accessing pmc.ncbi.nlm.nih.gov ... Click here if you are not automatically redirected after 5 seconds.

Related documents

• Swin-Qwen3: a three-stage vision-language framework for automated radiology report generation with multi-agent verification.#449933
• Evaluating large language models for lay summaries of radiology reports using tailored prompting strategies and mixed-method assessment.#988477
• Development of an AI-based Emergency Imaging Multi-Disease Rapid Joint Screening System#853904
• How green are large language models for radiology report labelling? Comparing human, rule-based and hybrid workflows.#239679
• Comparing the text-based diagnostic reasoning performance of emergency medicine physicians and large language models in both definitive and differential diagnoses using standardized clinical vignettes: a preliminary study.#420934