AI MSK clinical applications: spine imaging

Recent investigations have focused on the clinical application of artificial intelligence (AI) for tasks specifically addressing the musculoskeletal imaging routine. Several AI applications have been dedicated to optimizing the radiology value chain in spine imaging, independent from modality or spe...

Full description

Saved in:
Bibliographic Details
Published inSkeletal radiology Vol. 51; no. 2; pp. 279 - 291
Main Authors Huber, Florian A., Guggenberger, Roman
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2022
Springer
Springer Nature B.V
Subjects
Algorithms
Artificial Intelligence
Big Data
Diagnostic Imaging
Forecasting
Humans
Imaging
Magnetic resonance imaging
Medical imaging equipment
Medicine
Medicine & Public Health
Neural networks
Nuclear Medicine
Orthopedics
Pathology
R&D
Radiography
Radiology
Research & development
Review
Review Article
Value chain
Spine
Artificial intelligence
Online AccessGet full text

Cover

More Information
Summary:Recent investigations have focused on the clinical application of artificial intelligence (AI) for tasks specifically addressing the musculoskeletal imaging routine. Several AI applications have been dedicated to optimizing the radiology value chain in spine imaging, independent from modality or specific application. This review aims to summarize the status quo and future perspective regarding utilization of AI for spine imaging. First, the basics of AI concepts are clarified. Second, the different tasks and use cases for AI applications in spine imaging are discussed and illustrated by examples. Finally, the authors of this review present their personal perception of AI in daily imaging and discuss future chances and challenges that come along with AI-based solutions.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-3
content type line 23
ObjectType-Review-1
ISSN:0364-2348
1432-2161
DOI:10.1007/s00256-021-03862-0