Chadebecq François, Vasconcelos Francisco, Mazomenos Evangelos, Stoyanov Danail
Department of Computer Science, Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London, London, United Kingdom.
Visc Med. 2020 Dec;36(6):456-462. doi: 10.1159/000511934. Epub 2020 Oct 15.
Multiple types of surgical cameras are used in modern surgical practice and provide a rich visual signal that is used by surgeons to visualize the clinical site and make clinical decisions. This signal can also be used by artificial intelligence (AI) methods to provide support in identifying instruments, structures, or activities both in real-time during procedures and postoperatively for analytics and understanding of surgical processes.
In this paper, we provide a succinct perspective on the use of AI and especially computer vision to power solutions for the surgical operating room (OR). The synergy between data availability and technical advances in computational power and AI methodology has led to rapid developments in the field and promising advances.
With the increasing availability of surgical video sources and the convergence of technologies around video storage, processing, and understanding, we believe clinical solutions and products leveraging vision are going to become an important component of modern surgical capabilities. However, both technical and clinical challenges remain to be overcome to efficiently make use of vision-based approaches into the clinic.
现代外科手术实践中使用多种类型的手术摄像头,它们提供丰富的视觉信号,外科医生利用这些信号来观察临床部位并做出临床决策。人工智能(AI)方法也可以利用该信号,在手术过程中实时以及术后为分析和理解手术过程提供支持,以识别器械、结构或活动。
在本文中,我们简要介绍了人工智能尤其是计算机视觉在为手术室(OR)提供解决方案方面的应用。数据可用性与计算能力及人工智能方法的技术进步之间的协同作用推动了该领域的快速发展和有前景的进展。
随着手术视频源的日益普及以及围绕视频存储、处理和理解的技术融合,我们相信利用视觉技术的临床解决方案和产品将成为现代手术能力的重要组成部分。然而,要有效地将基于视觉的方法应用于临床,仍需克服技术和临床方面的挑战。