Journal
AMERICAN JOURNAL OF ROENTGENOLOGY
Volume 213, Issue 3, Pages 506-513Publisher
AMER ROENTGEN RAY SOC
DOI: 10.2214/AJR.19.21117
Keywords
artificial intelligence; deep learning; fast MRI; machine learning; MRI; musculoskeletal imaging
Funding
- National Institutes of Health [R01 EB024532]
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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.
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