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手术中的生成式人工智能。

Generative artificial intelligence in surgery.

机构信息

USC Institute of Urology and Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA; Artificial Intelligence Center at USC Urology, USC Institute of Urology, University of Southern California, Los Angeles, CA; Department of Urology, University Hospital of LMU Munich, Germany; Young Academic Working Group in Urologic Technology of the European Association of Urology, Arnhem, The Netherlands.

USC Institute of Urology and Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA; Artificial Intelligence Center at USC Urology, USC Institute of Urology, University of Southern California, Los Angeles, CA.

出版信息

Surgery. 2024 Jun;175(6):1496-1502. doi: 10.1016/j.surg.2024.02.019. Epub 2024 Apr 6.

Abstract

Generative artificial intelligence is able to collect, extract, digest, and generate information in an understandable way for humans. As the first surgical applications of generative artificial intelligence are applied, this perspective paper aims to provide a comprehensive overview of current applications and future perspectives for the application of generative artificial intelligence in surgery, from preoperative planning to training. Generative artificial intelligence can be used before surgery for planning and decision support by extracting patient information and providing patients with information and simulation regarding the procedure. Intraoperatively, generative artificial intelligence can document data that is normally not captured as intraoperative adverse events or provide information to help decision-making. Postoperatively, GAIs can help with patient discharge and follow-up. The ability to provide real-time feedback and store it for later review is an important capability of GAIs. GAI applications are emerging as highly specialized, task-specific tools for tasks such as data extraction, synthesis, presentation, and communication within the realm of surgery. GAIs have the potential to play a pivotal role in facilitating interaction between surgeons and artificial intelligence.

摘要

生成式人工智能能够以人类可理解的方式收集、提取、消化和生成信息。随着生成式人工智能在外科领域的首次应用,本观点文章旨在全面概述生成式人工智能在外科手术中的当前应用和未来前景,涵盖术前规划到培训。在手术前,生成式人工智能可以通过提取患者信息并为患者提供有关手术的信息和模拟来进行规划和决策支持。在手术过程中,生成式人工智能可以记录通常不会被捕获为手术期间不良事件的数据,或者提供有助于决策的信息。手术后,GAIs 可以帮助患者出院和随访。提供实时反馈并存储以备后查的能力是 GAI 的一个重要功能。GAI 应用程序作为高度专业化的、特定于任务的工具出现,用于在手术领域内执行数据提取、综合、呈现和交流等任务。GAIs 有可能在外科医生和人工智能之间的交互中发挥关键作用。

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