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

被引：28

作者：

D'Angelo, Tommaso ^{[1
,2
]}

Caudo, Danilo ^{[1
,3
]}

Blandino, Alfredo ^{[1
]}

Albrecht, Moritz H. ^{[4
]}

Vogl, Thomas J. ^{[5
]}

Gruenewald, Leon D. ^{[4
]}

Gaeta, Michele ^{[1
]}

Yel, Ibrahim ^{[4
]}

Koch, Vitali ^{[4
]}

Martin, Simon S. ^{[4
]}

Lenga, Lukas ^{[4
]}

Muscogiuri, Giuseppe ^{[6
,7
]}

Sironi, Sandro ^{[6
,8
]}

Mazziotti, Silvio ^{[1
]}

Booz, Christian ^{[4
]}

机构：

[1] Univ Hosp Messina, Dept Biomed Sci & Morphol & Funct Imaging, Messina, Italy

[2] Dept Radiol & Nucl Med, Rotterdam, Netherlands

[3] IRRCS Ctr Neurolesi Bonino Pulejo, Dept Radiol, Messina, Italy

[4] Univ Hosp Frankfurt, Dept Diagnost & Intervent Radiol, Div Expt Imaging, Frankfurt, Germany

[5] Univ Hosp Frankfurt, Dept Diagnost & Intervent Radiol, Frankfurt, Germany

[6] Univ Milano Bicocca, Sch Med & Surg, Milan, Italy

[7] San Luca Hosp, Dept Radiol, IRCCS Ist Auxol Italiano, Milan, Italy

[8] ASST Papa Giovanni XXIII Hosp, Dept Radiol, Bergamo, Italy

来源：

JOURNAL OF CLINICAL ULTRASOUND | 2022年 / 50卷 / 09期

关键词：

artificial intelligence; deep learning; machine learning; musculoskeletal imaging; AUTOMATED DETECTION; THORACOLUMBAR SPINE; NEURAL-NETWORK; BONE; DIAGNOSIS; CT; CLASSIFICATION; FRACTURES; MODEL; METASTASES;

D O I：

10.1002/jcu.23321

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

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.

引用

页码：1414 / 1431

页数：18

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