Department of Radiology, Dokuz Eylül University Faculty of Medicine, İzmir, Turkey.
Diagn Interv Radiol. 2023 Jan 31;29(1):40-45. doi: 10.4274/dir.2022.211260. Epub 2023 Jan 2.
Artificial intelligence (AI) continues to change paradigms in the field of medicine with new applications that are applicable to daily life. The field of ultrasonography, which has been developing since the 1950s and continues to be one of the most powerful tools in the field of diagnosis, is also the subject of AI studies, despite its unique problems. It is predicted that many operations, such as appropriate diagnostic tool selection, use of the most relevant parameters, improvement of low-quality images, automatic lesion detection and diagnosis from the image, and classification of pathologies, will be performed using AI tools in the near future. Especially with the use of convolutional neural networks, successful results can be obtained for lesion detection, segmentation, and classification from images. In this review, relevant developments are summarized based on the literature, and examples of the tools used in the field are presented.
人工智能（AI）在医学领域不断改变着范式，新的应用适用于日常生活。超声医学领域自 20 世纪 50 年代以来一直在发展，并且仍然是诊断领域最强大的工具之一，也成为 AI 研究的主题，尽管它有其独特的问题。预计许多操作，如适当的诊断工具选择、使用最相关的参数、改善低质量图像、从图像中自动检测和诊断病变以及对病变进行分类，都将在不久的将来使用 AI 工具来完成。特别是使用卷积神经网络，可以从图像中成功检测、分割和分类病变。在这篇综述中，根据文献总结了相关的进展，并介绍了该领域使用的工具示例。
