Artificial Intelligence in Musculoskeletal Oncological Radiology

Authors

  • Robi Kelc Department of Orthopaedic Surgery, University Medical Center Maribor, Slovenia

Abstract

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 so far. 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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Published

2021-02-15

How to Cite

Kelc, R. (2021). Artificial Intelligence in Musculoskeletal Oncological Radiology. Radiology and Oncology, 55(1), 1–6. Retrieved from https://www.radioloncol.com/index.php/ro/article/view/3479

Issue

Section

Review