Computer Vision in the Operating Room: Opportunities and Caveats.
Computer Vision in the Operating Room: Opportunities and Caveats.
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手术室中的计算机视觉：机会和警告。
DOI：
10.1109/tmrb.2020.3040002
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发表时间：
2021-03
期刊：
影响因子：
--
通讯作者：
Zenati MA
中科院分区：
文献类型：
--
作者：
Kennedy-Metz LR;Mascagni P;Torralba A;Dias RD;Perona P;Shah JA;Padoy N;Zenati MA
计算机视觉技术的有效性已经通过医疗保健内外的许多应用得到了证明。具体来说，手术室环境是一个具有丰富数据源的环境，与计算方法兼容，对患者直接受益的潜力很大。本综述的目的是总结计算机视觉在外科领域的主要主题。计算机视觉的主要功能被描述为帮助外科团队提高性能并有助于增强患者安全。文献是由外科、医学的计算分析和建模以及医疗保健的计算机视觉领域的领先专家确定的。文献支持计算机视觉原理在外科手术中的应用。手术中的潜在应用包括手术室警戒、内窥镜警戒、个人和团队行为分析。为了推进这一领域，我们建议收集和发布仔细注释的数据集。这样做将使外科社区能够共同为自动化系统定义明确的共同目标，促进学术研究，动员行业，并提供我们可以跟踪进展的基准。通过跨学科协作和先进的数据采集、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巨大影响。
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.
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