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人工智能、机器学习和深度学习在肌肉骨骼成像中的当前应用

Artificial intelligence, machine learning and deep learning in musculoskeletal imaging: Current applications.

作者信息

D'Angelo Tommaso, Caudo Danilo, Blandino Alfredo, Albrecht Moritz H, Vogl Thomas J, Gruenewald Leon D, Gaeta Michele, Yel Ibrahim, Koch Vitali, Martin Simon S, Lenga Lukas, Muscogiuri Giuseppe, Sironi Sandro, Mazziotti Silvio, Booz Christian

机构信息

Department of Biomedical Sciences and Morphological and Functional Imaging, University Hospital Messina, Messina, Italy.

Department of Radiology and Nuclear Medicine, Rotterdam, Netherlands.

出版信息

J Clin Ultrasound. 2022 Nov;50(9):1414-1431. doi: 10.1002/jcu.23321. Epub 2022 Sep 7.

Abstract

Artificial intelligence is rapidly expanding in all technological fields. The medical field, and especially diagnostic imaging, has been showing the highest developmental potential. Artificial intelligence aims at human intelligence simulation through the management of complex problems. This review describes the technical background of artificial intelligence, machine learning, and deep learning. The first section illustrates the general potential of artificial intelligence applications in the context of request management, data acquisition, image reconstruction, archiving, and communication systems. In the second section, the prospective of dedicated tools for segmentation, lesion detection, automatic diagnosis, and classification of musculoskeletal disorders is discussed.

摘要

人工智能正在所有技术领域迅速扩展。医学领域,尤其是诊断成像领域,已展现出最高的发展潜力。人工智能旨在通过处理复杂问题来模拟人类智能。本综述描述了人工智能、机器学习和深度学习的技术背景。第一部分阐述了人工智能应用在请求管理、数据采集、图像重建、存档和通信系统方面的总体潜力。第二部分讨论了用于肌肉骨骼疾病分割、病变检测、自动诊断和分类的专用工具的前景。

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