Large Language Models in Neurosurgery.

A large language model (LLM), in the context of natural language processing and artificial intelligence, refers to a sophisticated neural network that has been trained on a massive amount of text data to understand and generate human-like language. These models are typically built on architectures like transformers. The term "large" indicates that the neural network has a significant number of parameters, making it more powerful and capable of capturing complex patterns in language. One notable example of a large language model is ChatGPT. ChatGPT is a large language model developed by OpenAI that uses deep learning techniques to generate human-like text. It can be trained on a variety of tasks, such as language translation, question answering, and text completion. One of the key features of ChatGPT is its ability to understand and respond to natural language inputs. This makes it a powerful tool for generating a wide range of text, including medical reports, surgical notes, and even poetry. Additionally, the model has been trained on a large corpus of text, which allows it to generate text that is both grammatically correct and semantically meaningful. In terms of applications in neurosurgery, ChatGPT can be used to generate detailed and accurate surgical reports, which can be very useful for sharing information about a patient's case with other members of the medical team. Additionally, the model can be used to generate detailed surgical notes, which can be very useful for training and educating residents and medical students. Overall, LLMs have the potential to be a valuable tool in the field of neurosurgery. Indeed, this abstract has been generated by ChatGPT within few seconds. Potential applications and pitfalls of the applications of LLMs are discussed in this paper.