<title>Abstract</title> Background Neuropsychological assessments are essential for evaluating functional status and guiding surgical planning in patients with brain tumors. However, their complexity may hinder interpretation for patients and junior clinicians. Large language model (LLM)-based chatbots have emerged as tools providing medical information, but their ability to interpret real-world neuropsychological test results remains unevaluated. This study investigates whether LLMs can provide accurate, patient-…