评估 ChatGPT 在分娩镇痛管理中的作用

IF 5 2区 医学 Q1 ANESTHESIOLOGY
Nada Ismaiel MD , Teresa Phuongtram Nguyen MD , Nan Guo PhD , Brendan Carvalho MBBCh , Pervez Sultan MBChB
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引用次数: 0

摘要

ChatGPT4 是 OpenAI 于 2023 年发布的一款领先的大型语言模型(LLM)聊天机器人。ChatGPT4 可以回复自由文本查询,回答几乎任何主题的问题并提出建议。ChatGPT4 已经成功回答了麻醉甚至产科麻醉知识方面的问题,准确率相当高。然而,ChatGPT4 在产科麻醉临床决策方面还未受到挑战。研究目的:在本研究中,我们评估了 ChatGPT4 与产科麻醉专家相比在临床分娩镇痛情景管理中的表现。干预:向 ChatGPT4 提出八个临床问题,这些问题的医学复杂性逐渐增加。测量:七位产科麻醉专家根据每个回答的安全性、准确性和完整性,采用五点李克特评分法对 ChatGPT4 的回答进行评分。主要结果:73%的产科麻醉临床场景回复认为 ChatGPT4 是安全的(27% 的回复被认为是不安全的)。所有七位产科麻醉专家一致认为 ChatGPT4 的回答都不安全。此外,ChatGPT4 的回答总体上部分准确(满分 5 分,得 4 分),部分不完整(满分 5 分,得 3.5 分)。结论:总之,在 ChatGPT4 的所有回复中,约有四分之一被产科麻醉专家认为是不安全的。这些发现可能表明,有必要对 ChatGPT4 等 LLM 进行更多的微调和培训,以专门用于产科麻醉或其他专业医疗领域的临床决策。这些 LLMs 未来可能会在协助产科麻醉医师进行临床决策和加强整体患者护理方面发挥重要作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The evaluation of the performance of ChatGPT in the management of labor analgesia

ChatGPT4 is a leading large language model (LLM) chatbot released by OpenAI in 2023. ChatGPT4 can respond to free-text queries, answer questions and make suggestions regarding virtually any topic. ChatGPT4 has successfully answered anesthesia and even obstetric anesthesia knowledge-based questions with reasonable accuracy. However, ChatGPT4 has yet to be challenged in obstetric anesthesia clinical decision-making. Study Objective: In this study, we evaluated the performance of ChatGPT4 in the management of clinical labor analgesia scenarios compared to expert obstetric anesthesiologists. Intervention: Eight clinical questions with progressively increasing medical complexity were posed to ChatGPT4. Measurements: The ChatGPT4 responses were rated by seven expert obstetric anesthesiologists based on safety, accuracy and completeness of each response using a five-point Likert rating scale. Main Results: ChatGPT4 was deemed safe in 73% of responses to the presented obstetric anesthesia clinical scenarios (27% of responses were deemed unsafe). None of the ChatGPT4 responses were unanimously deemed to be safe by all seven expert obstetric anesthesiologists. Moreover, ChatGPT4 responses were overall partly accurate (score 4 out of 5) and somewhat incomplete (score 3.5 out of 5). Conclusions: In summary, approximately one quarter of all responses by ChatGPT4 were deemed unsafe by expert obstetric anesthesiologists. These findings may suggest the need for more fine-tuning and training of LLMs such as ChatGPT4 specifically for clinical decision making in obstetric anesthesia or other specialized medical fields. These LLMs may come to play an important future role in assisting obstetric anesthesiologists in clinical decision making and enhancing overall patient care.

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来源期刊
CiteScore
7.40
自引率
4.50%
发文量
346
审稿时长
23 days
期刊介绍: The Journal of Clinical Anesthesia (JCA) addresses all aspects of anesthesia practice, including anesthetic administration, pharmacokinetics, preoperative and postoperative considerations, coexisting disease and other complicating factors, cost issues, and similar concerns anesthesiologists contend with daily. Exceptionally high standards of presentation and accuracy are maintained. The core of the journal is original contributions on subjects relevant to clinical practice, and rigorously peer-reviewed. Highly respected international experts have joined together to form the Editorial Board, sharing their years of experience and clinical expertise. Specialized section editors cover the various subspecialties within the field. To keep your practical clinical skills current, the journal bridges the gap between the laboratory and the clinical practice of anesthesiology and critical care to clarify how new insights can improve daily practice.
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