人工智能模型在术前麻醉计划中的探索性比较:评估chatgpt - 40、Claude 3.5 Sonnet和chatgpt - 01在临床场景分析中的应用

IF 5.7 3区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Bing Wang, Yue Tian, Xue Ting Wang
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引用次数: 0

摘要

本探索性研究考察了chatgpt - 40、Claude 3.5 Sonnet和chatgpt - 01在制定危重病例麻醉计划中的有效性。个性化麻醉方案对于确保手术安全和患者满意度至关重要。这些人工智能(AI)模型可以理解并生成与麻醉相关的信息。这项研究包括一个由五位麻醉专家组成的小组,每位专家都有超过十年的经验。他们定性和定量地评估了这三种模型在制定危重病例麻醉计划方面的能力。结果显示,各模型在回答质量、相关性和适用性得分上均无显著差异;然而,在错误类型和严重程度上观察到变化。chatgpt - 01在内容相关性和信息准确性方面优于其他模型,错误率更低,更适合临床应用。作为这一快速发展领域的初步调查,该研究提供了初步的见解,同时承认在实施之前需要在临床环境中进一步验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Exploratory Comparison of AI Models for Preoperative Anesthesia Planning: Assessing ChatGPT-4o, Claude 3.5 Sonnet, and ChatGPT-o1 in Clinical Scenario Analysis.

This exploratory study examined the effectiveness of ChatGPT-4o, Claude 3.5 Sonnet, and ChatGPT-o1 in developing anesthesia plans for critical cases. Personalized anesthesia plans are essential for ensuring surgical safety and patient satisfaction. These artificial intelligence (AI) models can understand and generate anesthesia-related information. The study included a panel of five anesthesia experts, each with over ten years of experience. They qualitatively and quantitatively assessed the capabilities of the three models in formulating anesthesia plans for critical cases. The results showed no significant differences in the response quality, relevance, and applicability scores among the models; however, variations were observed in the error types and severity. ChatGPT-o1 surpassed the other models in terms of content relevance and information accuracy, demonstrating a lower error rate and higher suitability for clinical application. As an initial investigation in this rapidly evolving field, this research provides preliminary insights while acknowledging the need for further validation in clinical settings before implementation.

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来源期刊
Journal of Medical Systems
Journal of Medical Systems 医学-卫生保健
CiteScore
11.60
自引率
1.90%
发文量
83
审稿时长
4.8 months
期刊介绍: Journal of Medical Systems provides a forum for the presentation and discussion of the increasingly extensive applications of new systems techniques and methods in hospital clinic and physician''s office administration; pathology radiology and pharmaceutical delivery systems; medical records storage and retrieval; and ancillary patient-support systems. The journal publishes informative articles essays and studies across the entire scale of medical systems from large hospital programs to novel small-scale medical services. Education is an integral part of this amalgamation of sciences and selected articles are published in this area. Since existing medical systems are constantly being modified to fit particular circumstances and to solve specific problems the journal includes a special section devoted to status reports on current installations.
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