Suppr超能文献

ChatGPT 在妇产科领域的令人兴奋的潜力。

The exciting potential for ChatGPT in obstetrics and gynecology.

机构信息

Department of Obstetrics and Gynecology, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Lenox Hill Hospital, New York, NY.

Department of Obstetrics and Gynecology, Albert Einstein College of Medicine, Montefiore Hospital, Bronx, NY.

出版信息

Am J Obstet Gynecol. 2023 Jun;228(6):696-705. doi: 10.1016/j.ajog.2023.03.009. Epub 2023 Mar 15.

Abstract

Natural language processing-the branch of artificial intelligence concerned with the interaction between computers and human language-has advanced markedly in recent years with the introduction of sophisticated deep-learning models. Improved performance in natural language processing tasks, such as text and speech processing, have fueled impressive demonstrations of these models' capabilities. Perhaps no demonstration has been more impactful to date than the introduction of the publicly available online chatbot ChatGPT in November 2022 by OpenAI, which is based on a natural language processing model known as a Generative Pretrained Transformer. Through a series of questions posed by the authors about obstetrics and gynecology to ChatGPT as prompts, we evaluated the model's ability to handle clinical-related queries. Its answers demonstrated that in its current form, ChatGPT can be valuable for users who want preliminary information about virtually any topic in the field. Because its educational role is still being defined, we must recognize its limitations. Although answers were generally eloquent, informed, and lacked a significant degree of mistakes or misinformation, we also observed evidence of its weaknesses. A significant drawback is that the data on which the model has been trained are apparently not readily updated. The specific model that was assessed here, seems to not reliably (if at all) source data from after 2021. Users of ChatGPT who expect data to be more up to date need to be aware of this drawback. An inability to cite sources or to truly understand what the user is asking suggests that it has the capability to mislead. Responsible use of models like ChatGPT will be important for ensuring that they work to help but not harm users seeking information on obstetrics and gynecology.

摘要

自然语言处理是人工智能的一个分支,专注于计算机和人类语言之间的交互。近年来,随着复杂的深度学习模型的引入,自然语言处理技术取得了显著的进展。自然语言处理任务(如文本和语音处理)的性能得到了提高,这激发了人们对这些模型能力的令人印象深刻的展示。也许迄今为止最具影响力的展示是 2022 年 11 月 OpenAI 推出的可公开访问的在线聊天机器人 ChatGPT,它基于一种名为生成式预训练转换器的自然语言处理模型。通过作者向 ChatGPT 提出的一系列关于妇产科的问题作为提示,我们评估了该模型处理与临床相关查询的能力。它的回答表明,在其当前形式下,ChatGPT 可以为那些希望在该领域几乎任何主题上获得初步信息的用户提供有价值的信息。由于其教育作用仍在定义中,我们必须认识到其局限性。尽管答案通常是雄辩的、有见地的,并且没有出现重大错误或错误信息,但我们也观察到了其弱点的证据。一个显著的缺点是,该模型接受训练的数据显然没有得到及时更新。这里评估的特定模型似乎(如果有的话)无法可靠地从 2021 年以后的数据源获取数据。希望数据更新更及时的 ChatGPT 用户需要意识到这一缺点。无法引用来源或真正理解用户在问什么,这表明它有可能误导用户。负责任地使用像 ChatGPT 这样的模型对于确保它们有助于帮助用户获取妇产科信息而不是伤害用户至关重要。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验