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.

D'Angelo, T., Caudo, D., Blandino, A., Albrecht, M., Vogl, T., Gruenewald, L., et al. (2022). Artificial intelligence, machine learning and deep learning in musculoskeletal imaging: Current applications. JOURNAL OF CLINICAL ULTRASOUND, 50(9), 1414-1431 [10.1002/jcu.23321].

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

Muscogiuri G.;Sironi S.;
2022

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.
Articolo in rivista - Review Essay
artificial intelligence; deep learning; machine learning; musculoskeletal imaging;
English
7-set-2022
2022
50
9
1414
1431
none
D'Angelo, T., Caudo, D., Blandino, A., Albrecht, M., Vogl, T., Gruenewald, L., et al. (2022). Artificial intelligence, machine learning and deep learning in musculoskeletal imaging: Current applications. JOURNAL OF CLINICAL ULTRASOUND, 50(9), 1414-1431 [10.1002/jcu.23321].
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/470801
Citazioni
  • Scopus 16
  • ???jsp.display-item.citation.isi??? 13
Social impact