Artificial intelligence is gaining traction in more ways than ever before. The popularity of language models and AI-based businesses has soared since ChatGPT was made available to the general public via OpenAI. It is becoming increasingly common for people to use ChatGPT both professionally and personally. Considering the widespread use of ChatGPT and the reliance people place on it, this study determined how reliable ChatGPT can be for answering complex medical and clinical questions. Harvard University gross anatomy along with the United States Medical Licensing Examination (USMLE) questionnaire were used to accomplish the objective. The paper evaluated the obtained results using a 2-way ANOVA and posthoc analysis. Both showed systematic covariation between format and prompt. Furthermore, the physician adjudicators independently rated the outcome's accuracy, concordance, and insight. As a result of the analysis, ChatGPT-generated answers were found to be more context-oriented and represented a better model for deductive reasoning than regular Google search results. Furthermore, ChatGPT obtained 58.8% on logical questions and 60% on ethical questions. This means that the ChatGPT is approaching the passing range for logical questions and has crossed the threshold for ethical questions. The paper believes ChatGPT and other language learning models can be invaluable tools for e-learners; however, the study suggests that there is still room to improve their accuracy. In order to improve ChatGPT's performance in the future, further research is needed to better understand how it can answer different types of questions.

翻译：人工智能正以前所未有的方式获得关注。自OpenAI向公众发布ChatGPT以来，语言模型及基于人工智能的业务热度飙升。人们在专业领域和个人生活中使用ChatGPT的现象日益普遍。考虑到ChatGPT的广泛应用及人们对它的依赖，本研究确定了ChatGPT在回答复杂医学及临床问题方面的可靠性。为达成研究目标，本研究采用了哈佛大学大体解剖学试题及美国医师执照考试（USMLE）问卷。论文通过双因素方差分析及事后分析评估所得结果。两者均显示格式与提示之间存在系统性协变。此外，医师评审员独立评估了结果的准确性、一致性和洞察力。分析结果显示，与常规谷歌搜索结果相比，ChatGPT生成的答案更注重语境，并展现出更优的演绎推理模型。此外，ChatGPT在逻辑问题上获得58.8%的正确率，在伦理问题上获得60%的正确率。这意味着ChatGPT在逻辑问题上已接近及格线，并在伦理问题上跨越了阈值。论文认为ChatGPT及其他语言学习模型可成为电子学习者的宝贵工具；然而研究表明，其准确性仍有提升空间。为在未来提升ChatGPT的性能，需进一步研究以更深入理解其如何回答不同类型的问题。