| Literature DB >> 35980460 |
Stefan Rohde1,2, Nico Münnich3.
Abstract
Artificial intelligence (AI) is playing an increasing role in radiological imaging in orthopaedics and trauma surgery. The algorithms available to date are predominantly used in the detection of (occult) fractures and in length and angle measurements in conventional X‑ray images. However, current AI solutions also enable the analysis and pattern recognition of CT datasets, e.g. in the detection of rib or vertebral body fractures. A special application is EOS™ (ATEC Spine Group, Paris, France), which enables a 3‑D simulation of the axial skeleton and semi-automatic length and angle calculations based on a digital 2‑D X‑ray image. In this paper, the current spectrum of AI applications for orthopaedics and trauma surgery is presented and discussed.Entities:
Keywords: Automated pattern recognition; Bone fractures; Computational intelligence; Emergency medicine; Machine learning
Mesh:
Year: 2022 PMID: 35980460 DOI: 10.1007/s00132-022-04293-y
Source DB: PubMed Journal: Orthopadie (Heidelb) ISSN: 2731-7145