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大语言模型和血管外科学人工智能聊天机器人。

Large language models and artificial intelligence chatbots in vascular surgery.

机构信息

Department of Vascular Surgery, Hospital of Antibes Juan-les-Pins, France; Université Côte d'Azur, Centre National de la Recherche Scientifique (CNRS), UMR7370, Laboratoire de Physiomédecine Moléculaire (LP2M), Nice, France; Fédération Hospitalo-Universitaire FHU Plan & Go, Nice, France.

University of Brest, Institut National de la Santé et de la Recherche Médicale (INSERM), IMT-Atlantique, UMR 1011 LaTIM, Vascular and Endovascular Surgery Department, CHU Cavale Blanche, Brest, France.

出版信息

Semin Vasc Surg. 2024 Sep;37(3):314-320. doi: 10.1053/j.semvascsurg.2024.06.001. Epub 2024 Jun 19.

Abstract

Natural language processing is a subfield of artificial intelligence that aims to analyze human oral or written language. The development of large language models has brought innovative perspectives in medicine, including the potential use of chatbots and virtual assistants. Nevertheless, the benefits and pitfalls of such technology need to be carefully evaluated before their use in health care. The aim of this narrative review was to provide an overview of potential applications of large language models and artificial intelligence chatbots in the field of vascular surgery, including clinical practice, research, and education. In light of the results, we discuss current limits and future directions.

摘要

自然语言处理是人工智能的一个分支,旨在分析人类的口头或书面语言。大型语言模型的发展为医学带来了创新视角,包括聊天机器人和虚拟助手的潜在应用。然而,在将其应用于医疗保健之前,需要仔细评估此类技术的益处和陷阱。本综述旨在概述大型语言模型和人工智能聊天机器人在血管外科学领域的潜在应用,包括临床实践、研究和教育。鉴于研究结果,我们讨论了当前的局限性和未来的方向。

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