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人工智能和计算机视觉在骨科创伤中的应用:原因、内容和方法。

Artificial intelligence and computer vision in orthopaedic trauma : the why, what, and how.

机构信息

Department of Orthopaedic Surgery, Groningen University Medical Centre, Groningen, the Netherlands.

Department of Surgery, Groningen University Medical Centre, Groningen, the Netherlands.

出版信息

Bone Joint J. 2022 Aug;104-B(8):911-914. doi: 10.1302/0301-620X.104B8.BJJ-2022-0119.R1.

DOI:10.1302/0301-620X.104B8.BJJ-2022-0119.R1
PMID:35909378
Abstract

Artificial intelligence (AI) is, in essence, the concept of 'computer thinking', encompassing methods that train computers to perform and learn from executing certain tasks, called machine learning, and methods to build intricate computer models that both learn and adapt, called complex neural networks. Computer vision is a function of AI by which machine learning and complex neural networks can be applied to enable computers to capture, analyze, and interpret information from clinical images and visual inputs. This annotation summarizes key considerations and future perspectives concerning computer vision, questioning the need for this technology (the 'why'), the current applications (the 'what'), and the approach to unlocking its full potential (the 'how'). Cite this article:  2022;104-B(8):911-914.

摘要

人工智能(AI)本质上是“计算机思维”的概念,包括训练计算机执行某些任务并从中学习的方法,称为机器学习,以及构建既能学习又能适应的复杂计算机模型的方法,称为复杂神经网络。计算机视觉是 AI 的一个功能,通过它可以将机器学习和复杂神经网络应用于使计算机能够捕获、分析和解释来自临床图像和视觉输入的信息。本注释总结了有关计算机视觉的关键考虑因素和未来展望,质疑了这项技术的必要性(“为什么”)、当前的应用(“是什么”)以及实现其全部潜力的方法(“怎么做”)。引用本文:2022;104-B(8):911-914.

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