4.5 Review

Artificial Intelligence in Musculoskeletal Imaging: Current Status and Future Directions

Journal

AMERICAN JOURNAL OF ROENTGENOLOGY
Volume 213, Issue 3, Pages 506-513

Publisher

AMER ROENTGEN RAY SOC
DOI: 10.2214/AJR.19.21117

Keywords

artificial intelligence; deep learning; fast MRI; machine learning; MRI; musculoskeletal imaging

Funding

  1. National Institutes of Health [R01 EB024532]

Ask authors/readers for more resources

OBJECTIVE. The objective of this article is to show how artificial intelligence (AI) has impacted different components of the imaging value chain thus far as well as to describe its potential future uses. CONCLUSION. The use of AI has the potential to greatly enhance every component of the imaging value chain. From assessing the appropriateness of imaging orders to helping predict patients at risk for fracture, AI can increase the value that musculoskeletal imagers provide to their patients and to referring clinicians by improving image quality, patient centricity, imaging efficiency, and diagnostic accuracy.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available