<abstract xmlns="http://www.w3.org/1999/xhtml"><sec id="j_raon-2020-0068_s_005_w2aab3b7c24b1b6b1aab1c16b1Aa"><h3>Background</h3><p>Due to the rarity of primary bone tumors, precise radiologic diagnosis often requires an experienced musculoskeletal radiologist. In order to make the diagnosis more precise and to prevent the overlooking of potentially dangerous conditions, artificial intelligence has been continuously incorporated into medical practice in recent decades. This paper reviews some of the most promising systems developed, including those for diagnosis of primary and secondary bone tumors, breast, lung and colon neoplasms.</p></sec><sec id="j_raon-2020-0068_s_006_w2aab3b7c24b1b6b1aab1c16b2Aa"><h3>Conclusions</h3><p>Although there is still a shortage of long-term studies confirming its benefits, there is probably a considerable potential for further development of computer-based expert systems aiming at a more efficient diagnosis of bone and soft tissue tumors.</p></sec></abstract>

BackgroundDue to the rarity of primary bone tumors, precise radiologic diagnosis often requires an experienced musculoskeletal radiologist. In order to make the diagnosis more precise and to prevent the overlooking of potentially dangerous conditions, artificial intelligence has been continuously incorporated into medical practice in recent decades. This paper reviews some of the most promising systems developed, including those for diagnosis of primary and secondary bone tumors, breast, lung and colon neoplasms.ConclusionsAlthough there is still a shortage of long-term studies confirming its benefits, there is probably a considerable potential for further development of computer-based expert systems aiming at a more efficient diagnosis of bone and soft tissue tumors.

Artificial intelligence in musculoskeletal oncological radiology

Radiology and Oncology

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Artificial intelligence in musculoskeletal oncological radiology"}

BackgroundDue to the rarity of primary bone tumors, precise radiologic diagnosis often requires an experienced musculoskeletal radiologist. In order to make...

Artificial intelligence in musculoskeletal oncological radiology

Article Category: Review

Online veröffentlicht: 10. Nov. 2020

Seitenbereich: 1 - 6

Eingereicht: 01. Juni 2020

Akzeptiert: 29. Sept. 2020

DOI: https://doi.org/10.2478/raon-2020-0068

© 2021 Matjaz Vogrin, Teodor Trojner, Robi Kelc, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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