Abstract
This study evaluated the use of two large language models (LLMs), ChatGPT and Google Bard, in anatomy education. The models were asked to answer questions, generate multiple-choice questions, and write articles on anatomy topics. The results showed that the models were able to perform these tasks with varying degrees of accuracy. ChatGPT and Google Bard did not differ significantly in terms of answering questions. Both models were able to generate multiple-choice questions with a high degree of accuracy. However, the performance of the models in article writing was not yet at a sufficient level. The study also found that the use of LLMs in medical education requires caution. This is because LLMs are still under development and they can sometimes generate inaccurate or misleading information. It is important to carefully evaluate the output of LLMs before using them in educational settings. Overall, the study found that LLMs have the potential to be valuable tools for anatomy education. However, more research is needed to improve the accuracy of the models and to better understand how they can be used effectively in educational settings.