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人工智能在脊柱外科手术中的应用。

The application of artificial intelligence in spine surgery.

作者信息

Zhou Shuai, Zhou Feifei, Sun Yu, Chen Xin, Diao Yinze, Zhao Yanbin, Huang Haoge, Fan Xiao, Zhang Gangqiang, Li Xinhang

机构信息

Department of Orthopaedics, Peking University Third Hospital, Beijing, China.

Engineering Research Center of Bone and Joint Precision Medicine, Peking University Third Hospital, Beijing, China.

出版信息

Front Surg. 2022 Aug 11;9:885599. doi: 10.3389/fsurg.2022.885599. eCollection 2022.

DOI:10.3389/fsurg.2022.885599
PMID:36034349
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9403075/
Abstract

Due to its obvious advantages in processing big data and image information, the combination of artificial intelligence and medical care may profoundly change medical practice and promote the gradual transition from traditional clinical care to precision medicine mode. In this artical, we reviewed the relevant literatures and found that artificial intelligence was widely used in spine surgery. The application scenarios included etiology, diagnosis, treatment, postoperative prognosis and decision support systems of spinal diseases. The shift to artificial intelligence model in medicine constantly improved the level of doctors' diagnosis and treatment and the development of orthopedics.

摘要

由于人工智能在处理大数据和图像信息方面具有明显优势,其与医疗护理的结合可能会深刻改变医疗实践,并推动从传统临床护理向精准医疗模式的逐步转变。在本文中,我们回顾了相关文献,发现人工智能在脊柱外科中得到了广泛应用。应用场景包括脊柱疾病的病因、诊断、治疗、术后预后以及决策支持系统。医学向人工智能模式的转变不断提高了医生的诊疗水平以及骨科的发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51db/9403075/46194fa68f13/fsurg-09-885599-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51db/9403075/46194fa68f13/fsurg-09-885599-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/51db/9403075/46194fa68f13/fsurg-09-885599-g001.jpg

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Eur Spine J. 2021 Aug;30(8):2157-2166. doi: 10.1007/s00586-021-06799-z. Epub 2021 Apr 15.
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4
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