AI MSK clinical applications. Spine imaging
Creators
- 1. Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Raemistrasse 100, 8091, Zurich (Switzerland)
Description
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.
Availability note (English)
Available from: http://dx.doi.org/10.1007/s00256-021-03862-0Additional details
Identifiers
Publishing Information
- Journal Title
- Skeletal Radiology
- Journal Volume
- 51
- Journal Issue
- 2
- Journal Page Range
- p. 279-291
- ISSN
- 0364-2348
- CODEN
- SKRADI
INIS
- Country of Publication
- Germany
- Country of Input or Organization
- Germany
- INIS RN
- 53032875
- Subject category
- S62: RADIOLOGY AND NUCLEAR MEDICINE;
- Descriptors DEI
- ARTIFICIAL INTELLIGENCE; CLASSIFICATION; COMPUTERIZED TOMOGRAPHY; CONTRAST MEDIA; DATA-FLOW PROCESSING; DECISION MAKING; IMAGE PROCESSING; MUSCLES; NERVES; NMR IMAGING; OPTIMIZATION; PATHOLOGY; SKELETAL DISEASES; SPINAL CORD; VERTEBRAE
- Descriptors DEC
- BODY; CENTRAL NERVOUS SYSTEM; DIAGNOSTIC TECHNIQUES; DISEASES; NERVOUS SYSTEM; ORGANS; PROCESSING; PROGRAMMING; SKELETON; TOMOGRAPHY