Artificial intelligence in musculoskeletal oncological radiology

Matjaz Vogrin; Teodor Trojner; Robi Kelc

doi:10.2478/raon-2020-0068

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Artificial intelligence in musculoskeletal oncological radiology

Radiology and Oncology

Volume 55 (2021): Issue 1 (March 2021)

By: Matjaz Vogrin, Teodor Trojner and Robi Kelc

Open Access

|Nov 2020

Abstract

Background

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.

Conclusions

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.

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Articles in this issue

DOI: https://doi.org/10.2478/raon-2020-0068 | Journal eISSN: 1581-3207 | Journal ISSN: 1318-2099

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Language: English

Page range: 1 - 6

Submitted on: Jun 1, 2020

Accepted on: Sep 29, 2020

Published on: Nov 10, 2020

Published by: Association of Radiology and Oncology

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

artificial intelligence,

Related subjects:

Haematology, oncology,

Radiology

© 2020 Matjaz Vogrin, Teodor Trojner, Robi Kelc, published by Association of Radiology and Oncology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 55 (2021): Issue 1 (March 2021)