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Artificial Intelligence in Musculoskeletal Imaging: Review of Current Literature, Challenges, and Trends

2019; Thieme Medical Publishers (Germany); Volume: 23; Issue: 03 Linguagem: Inglês

10.1055/s-0039-1684024

1089-7860

Anna Hirschmann, Joshy Cyriac, Bram Stieltjes, Tobias Kober, Jonas Richiardi, Patrick Omoumi,

Medical Imaging and Analysis

Abstract Artificial intelligence (AI) has gained major attention with a rapid increase in the number of published articles, mostly recently. This review provides a general understanding of how AI can or will be useful to the musculoskeletal radiologist. After a brief technical background on AI, machine learning, and deep learning, we illustrate, through examples from the musculoskeletal literature, potential AI applications in the various steps of the radiologist's workflow, from managing the request to communication of results. The implementation of AI solutions does not go without challenges and limitations. These are also discussed, as well as the trends and perspectives.