Kennedy-Metz Lauren R, Mascagni Pietro, Torralba Antonio, Dias Roger D, Perona Pietro, Shah Julie A, Padoy Nicolas, Zenati Marco A
Medical Robotics and Computer-Assisted Surgery (MRCAS) Laboratory, affiliated with Harvard Medical School in Boston, MA 02115 and the VA Boston Healthcare System in West Roxbury, MA 02132.
ICube at the University of Strasbourg, CNRS, IHU Strasbourg, France and Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
IEEE Trans Med Robot Bionics. 2021 Feb;3(1):2-10. doi: 10.1109/tmrb.2020.3040002. Epub 2020 Nov 24.
Effectiveness of computer vision techniques has been demonstrated through a number of applications, both within and outside healthcare. The operating room environment specifically is a setting with rich data sources compatible with computational approaches and high potential for direct patient benefit. The aim of this review is to summarize major topics in computer vision for surgical domains. The major capabilities of computer vision are described as an aid to surgical teams to improve performance and contribute to enhanced patient safety. Literature was identified through leading experts in the fields of surgery, computational analysis and modeling in medicine, and computer vision in healthcare. The literature supports the application of computer vision principles to surgery. Potential applications within surgery include operating room vigilance, endoscopic vigilance, and individual and team-wide behavioral analysis. To advance the field, we recommend collecting and publishing carefully annotated datasets. Doing so will enable the surgery community to collectively define well-specified common objectives for automated systems, spur academic research, mobilize industry, and provide benchmarks with which we can track progress. Leveraging computer vision approaches through interdisciplinary collaboration and advanced approaches to data acquisition, modeling, interpretation, and integration promises a powerful impact on patient safety, public health, and financial costs.
计算机视觉技术的有效性已在医疗保健领域内外的众多应用中得到证明。特别是手术室环境,是一个拥有丰富数据源的环境,这些数据源与计算方法兼容,并且对患者有直接受益的巨大潜力。本综述的目的是总结外科领域计算机视觉的主要主题。计算机视觉的主要功能被描述为有助于手术团队提高性能,并有助于提高患者安全性。通过外科、医学计算分析与建模以及医疗保健领域计算机视觉等领域的顶尖专家确定了相关文献。这些文献支持将计算机视觉原理应用于外科手术。手术中的潜在应用包括手术室警戒、内窥镜警戒以及个人和团队层面的行为分析。为推动该领域发展,我们建议收集并发布经过精心注释的数据集。这样做将使外科界能够共同为自动化系统定义明确的共同目标,刺激学术研究,推动行业发展,并提供可用于跟踪进展的基准。通过跨学科合作以及先进的数据采集、建模、解释和集成方法来利用计算机视觉方法,有望对患者安全、公共卫生和财务成本产生重大影响。