个性化手术时代的数字双胞胎

IF 12.4 1区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Yosra Magdi Mekki, Gijs Luijten, Elisabet Hagert, Sirajeddin Belkhair, Chris Varghese, Junaid Qadir, Barry Solaiman, Muhammad Bilal, Jaghtar Dhanda, Jan Egger, Jun Deng, Vikas Khanduja, Alejandro F. Frangi, Susu M. Zughaier, Mitchell A. Stotland
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引用次数: 0

摘要

数字双胞胎可以帮助外科医生进行培训,并以更高的意识和精度进行干预。数字双胞胎在手术中的范围和种类被描述,并在围手术期护理他们的使用进行了讨论。虽然很大程度上是实验性的,但它们开始显示出增强个性化、适应性和数据驱动的外科护理的希望。与更广泛地采用和部署数字孪生相关的问题都被考虑在内。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Digital twins for the era of personalized surgery

Digital twins for the era of personalized surgery

Digital twins can aid surgeons in training and in performing interventions with greater awareness and precision. The range and variety of digital twins in surgery are described, and their use across perioperative care is discussed. While largely experimental, they are beginning to show promise for the enhancement of personalized, adaptive, and data-driven surgical care. Issues relevant to the greater adoption and deployment of digital twins are all considered.

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来源期刊
CiteScore
25.10
自引率
3.30%
发文量
170
审稿时长
15 weeks
期刊介绍: npj Digital Medicine is an online open-access journal that focuses on publishing peer-reviewed research in the field of digital medicine. The journal covers various aspects of digital medicine, including the application and implementation of digital and mobile technologies in clinical settings, virtual healthcare, and the use of artificial intelligence and informatics. The primary goal of the journal is to support innovation and the advancement of healthcare through the integration of new digital and mobile technologies. When determining if a manuscript is suitable for publication, the journal considers four important criteria: novelty, clinical relevance, scientific rigor, and digital innovation.
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