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本文引用的文献

1
Artificial Intelligence-enabled Decision Support in Surgery: State-of-the-art and Future Directions.人工智能支持的手术决策支持:现状与未来方向。
Ann Surg. 2023 Jul 1;278(1):51-58. doi: 10.1097/SLA.0000000000005853. Epub 2023 Mar 21.
2
The role of digital technology in surgical home hospital programs.数字技术在居家手术医院项目中的作用。
NPJ Digit Med. 2023 Feb 7;6(1):22. doi: 10.1038/s41746-023-00750-w.
3
Appropriateness of Cardiovascular Disease Prevention Recommendations Obtained From a Popular Online Chat-Based Artificial Intelligence Model.从一个基于在线聊天的流行人工智能模型获取的心血管疾病预防建议的适宜性。
JAMA. 2023 Mar 14;329(10):842-844. doi: 10.1001/jama.2023.1044.
4
Predictive Analytics and Artificial Intelligence in Surgery-Opportunities and Risks.手术中的预测分析与人工智能——机遇与风险
JAMA Surg. 2023 Apr 1;158(4):337-338. doi: 10.1001/jamasurg.2022.5444.
5
Characterization of multi-domain postoperative recovery trajectories after cardiac surgery using a digital platform.使用数字平台对心脏手术后多领域术后恢复轨迹进行特征分析。
NPJ Digit Med. 2022 Dec 24;5(1):192. doi: 10.1038/s41746-022-00736-0.
6
Surgical gestures as a method to quantify surgical performance and predict patient outcomes.手术手势作为一种量化手术表现和预测患者预后的方法。
NPJ Digit Med. 2022 Dec 22;5(1):187. doi: 10.1038/s41746-022-00738-y.
7
Appraising the Quality of Development and Reporting in Surgical Prediction Models.评估外科预测模型的开发质量与报告质量
JAMA Surg. 2023 Feb 1;158(2):214-216. doi: 10.1001/jamasurg.2022.4488.
8
Computer vision in surgery: from potential to clinical value.外科手术中的计算机视觉:从潜力到临床价值。
NPJ Digit Med. 2022 Oct 28;5(1):163. doi: 10.1038/s41746-022-00707-5.
9
Defining digital surgery for the future.为未来定义数字外科手术。
NPJ Digit Med. 2022 Oct 19;5(1):155. doi: 10.1038/s41746-022-00706-6.
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Addressing racial disparities in surgical care with machine learning.利用机器学习解决外科护理中的种族差异问题。
NPJ Digit Med. 2022 Sep 30;5(1):152. doi: 10.1038/s41746-022-00695-6.

手术的数字化转型

The digital transformation of surgery.

作者信息

Marwaha Jayson S, Raza Marium M, Kvedar Joseph C

机构信息

Beth Israel Deaconess Medical Center, Boston, MA, USA.

Harvard Medical School, Boston, MA, USA.

出版信息

NPJ Digit Med. 2023 May 31;6(1):103. doi: 10.1038/s41746-023-00846-3.

DOI:10.1038/s41746-023-00846-3
PMID:37258642
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10232406/
Abstract

Rapid advances in digital technology and artificial intelligence in recent years have already begun to transform many industries, and are beginning to make headway into healthcare. There is tremendous potential for new digital technologies to improve the care of surgical patients. In this piece, we highlight work being done to advance surgical care using machine learning, computer vision, wearable devices, remote patient monitoring, and virtual and augmented reality. We describe ways these technologies can be used to improve the practice of surgery, and discuss opportunities and challenges to their widespread adoption and use in operating rooms and at the bedside.

摘要

近年来,数字技术和人工智能的飞速发展已经开始改变许多行业,并开始在医疗保健领域取得进展。新的数字技术在改善外科手术患者护理方面具有巨大潜力。在本文中,我们重点介绍了利用机器学习、计算机视觉、可穿戴设备、远程患者监测以及虚拟现实和增强现实等技术推进外科护理的工作。我们描述了这些技术可用于改善手术实践的方式,并讨论了它们在手术室和床边广泛采用和使用所面临的机遇和挑战。