RESUMO
Large language models (LLM) have been promising recently in the medical field, with numerous applications in clinical neuroscience. OpenAI's launch of Generative Pre-trained Transformer 3.5 (GPT-3.5) in November 2022 and its successor, Generative Pre-trained Transformer 4 (GPT 4) in March 2023 have garnered widespread attention and debate surrounding natural language processing (NLP) and LLM advancements. Transformer models are trained on natural language datasets to predict and generate sequences of characters. Using internal weights from training, they produce tokens that align with their understanding of the initial input. This paper delves into ChatGPT's potential as a learning tool in neurosurgery while contextualizing its abilities for passing medical licensing exams and neurosurgery written boards. Additionally, possibilities for creating personalized case presentations and study material are discussed alongside ChatGPT's capacity to optimize the research workflow and perform a concise literature review. However, such tools need to be used with caution, given the possibility of artificial intelligence hallucinations and other concerns such as user overreliance, and complacency. Overall, this opinion paper raises key points surrounding ChatGPT's role in neurosurgical education.