A study evaluated the performance of the open-weight LLaMA 3.1 large language model in extracting structured information from Dutch brain MRI reports, achieving high accuracy in visual ratings and lesion detection. The model showed improved results for numerical data with few-shot prompting, indicating its potential for enhancing data extraction in neuroradiology.