Abstract
The past decade has witnessed remarkable advancements in musculoskeletal radiology, driven by increasing demand for medical imaging and rapid technological innovations. Contrary to early concerns about artificial intelligence (AI) replacing radiologists, AI has instead enhanced imaging capabilities, aiding in automated abnormality detection and workflow efficiency. MRI has benefited from acceleration techniques that significantly reduce scan times while maintaining high-quality imaging. In addition, novel MRI methodologies now support precise anatomic and quantitative imaging across a broad spectrum of field strengths. In CT, dual-energy and photon-counting technologies have expanded diagnostic possibilities for musculoskeletal applications. This review explores these key developments, examining their impact on clinical practice and the future trajectory of musculoskeletal radiology.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 193-204 |
| Number of pages | 12 |
| Journal | Investigative Radiology |
| Volume | 61 |
| Issue number | 3 |
| DOIs | |
| State | Published - Mar 2026 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2025 Wolters Kluwer Health, Inc. All rights reserved.
Keywords
- AI
- CT
- MRI
- advancement
- low field
- machine learning
- musculoskeletal
- photon counting
PubMed: MeSH publication types
- Journal Article
- Review
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