血管外科虚拟助手综合评述

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Ben Li , Derek Beaton , Douglas S. Lee , Badr Aljabri , Leen Al-Omran , Duminda N. Wijeysundera , Mohamad A. Hussain , Ori D. Rotstein , Charles de Mestral , Muhammad Mamdani , Mohammed Al-Omran
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引用次数: 0

摘要

虚拟助手的广义定义是模拟人类对话并根据用户输入提供个性化回复的数字服务,它可以在诊断和管理疾病、执行管理任务以及支持医学研究和教育方面为临床医生和患者提供支持,从而有可能改善医疗服务。这些任务对血管外科尤其有帮助,由于血管疾病的发病率不断上升、患者的医疗复杂性以及创新和医疗进步的潜力,血管外科的临床和管理负担很重。人工智能、机器学习和自然语言处理技术的快速发展促进了大型语言模型(如 GPT-4 (OpenAI))的训练,这可以为开发功能日益强大的虚拟助手提供支持。这些工具可支持在术前、术中和术后阶段提供全面、多学科和高质量的血管护理服务。重要的是,必须考虑与虚拟助手相关的设计、安全性和挑战,包括数据安全、伦理和公平问题。在开发、实施和监控虚拟助手时,将患者、临床医生、数据科学家和其他利益相关者的观点结合起来,就有可能利用这项技术的力量更有效地护理血管外科患者。在这篇综合性综述文章中,我们介绍了虚拟助手的概念,描述了虚拟助手在血管外科手术中对临床医生和患者的潜在应用,强调了大型语言模型(如 GPT-4)的优点和缺点,并讨论了血管外科手术中虚拟助手的设计、安全性和相关挑战等方面的注意事项。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comprehensive review of virtual assistants in vascular surgery

Virtual assistants, broadly defined as digital services designed to simulate human conversation and provide personalized responses based on user input, have the potential to improve health care by supporting clinicians and patients in terms of diagnosing and managing disease, performing administrative tasks, and supporting medical research and education. These tasks are particularly helpful in vascular surgery, where the clinical and administrative burden is high due to the rising incidence of vascular disease, the medical complexity of the patients, and the potential for innovation and care advancement. The rapid development of artificial intelligence, machine learning, and natural language processing techniques have facilitated the training of large language models, such as GPT-4 (OpenAI), which can support the development of increasingly powerful virtual assistants. These tools may support holistic, multidisciplinary, and high-quality vascular care delivery throughout the pre-, intra-, and postoperative stages. Importantly, it is critical to consider the design, safety, and challenges related to virtual assistants, including data security, ethical, and equity concerns. By combining the perspectives of patients, clinicians, data scientists, and other stakeholders when developing, implementing, and monitoring virtual assistants, there is potential to harness the power of this technology to care for vascular surgery patients more effectively. In this comprehensive review article, we introduce the concept of virtual assistants, describe potential applications of virtual assistants in vascular surgery for clinicians and patients, highlight the benefits and drawbacks of large language models, such as GPT-4, and discuss considerations around the design, safety, and challenges associated with virtual assistants in vascular surgery.

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来源期刊
CiteScore
7.20
自引率
4.30%
发文量
567
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