ABSTRACT
The use of artificial intelligence (AI) in scientific publishing has gained increased attention, and one AI tool that has been the subject of much discussion is ChatGPT. It is a large language model (LLM) built on the OpenAI platform that aims to emulate human-like writing and continually improves through user interactions. In this paper, ChatGPT's performance was assessed in medical publishing by comparing it to a case report written by oral and maxillofacial radiologists. ChatGPT was tasked with writing a case report based on a drafted report written by the authors in five different prompts. The findings of this study highlight issues related to the accuracy, completeness, and readability of the generated text. These results have significant implications for the future use of AI in scientific publishing and suggest that in the current iteration of ChatGPT, scientific information must be revised by an expert.
