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: Bone Joint J 2022;104-B(8):911-914.

中文翻译：

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骨科创伤中的人工智能和计算机视觉：原因、内容和方式。

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并从执行某些任务中学习的方法，称为机器学习，以及构建复杂的计算机模型的方法，即学习和适应，称为复杂的神经网络。计算机视觉是人工智能的一项功能，通过它可以应用机器学习和复杂的神经网络，使计算机能够从临床图像和视觉输入中捕获、分析和解释信息。本注释总结了有关计算机视觉的关键考虑因素和未来前景，质疑对这项技术的需求（“为什么”）、当前的应用程序（“什么”）以及释放其全部潜力的方法（“如何”）。引用这篇文章：骨关节 J 2022;104-B(8):911-914。