Artificial intelligence, machine learning and deep learning in musculoskeletal imaging: Current applications
Tommaso D’Angelo, Danilo Caudo, Alfredo Blandino, Moritz H. Albrecht, Thomas J. Vogl, Leon D. Gruenewald, Michele Gaeta, İbrahim Yel, Vitali Koch, Simon S. Martin, Lukas Lenga, Giuseppe Muscogiuri, Sandro Sironi, Silvio Mazziotti, Christian Booz
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.