Department of Surgery, University of Toronto, Toronto, ON, Canada; Division of Vascular Surgery, St. Michael's Hospital, Unity Health Toronto, 30 Bond Street, Suite 7-074, Bond Wing, Toronto, ON, Canada, M5B 1W8; Institute of Medical Science, University of Toronto, Toronto, ON, Canada; Temerty Centre for Artificial Intelligence Research and Education in Medicine, University of Toronto, Toronto, ON, Canada.
Data Science and Advanced Analytics, Unity Health Toronto, University of Toronto, Toronto, ON, Canada.
Semin Vasc Surg. 2024 Sep;37(3):342-349. doi: 10.1053/j.semvascsurg.2024.07.001. Epub 2024 Jul 6.
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.
虚拟助手通常被定义为旨在模拟人类对话并根据用户输入提供个性化响应的数字服务,它们有可能通过支持临床医生和患者在诊断和管理疾病、执行行政任务以及支持医学研究和教育方面来改善医疗保健。这些任务在血管外科学中特别有帮助,由于血管疾病的发病率上升、患者的医疗复杂性以及创新和护理进步的潜力,该领域的临床和行政负担很高。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,这些模型可以支持功能日益强大的虚拟助手的开发。这些工具可以在术前、术中和术后阶段支持整体的、多学科的和高质量的血管护理交付。重要的是,必须考虑虚拟助手的设计、安全性和相关挑战,包括数据安全、伦理和公平问题。通过在开发、实施和监测虚拟助手时结合患者、临床医生、数据科学家和其他利益相关者的观点,有可能利用这项技术更有效地为血管外科学患者提供护理。在这篇全面的综述文章中,我们介绍了虚拟助手的概念,描述了虚拟助手在血管外科学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)的优势和不足,并讨论了与血管外科学中虚拟助手的设计、安全性和挑战相关的考虑因素。