Artificial intelligence in traumatology
The use of a CNN model as a second opinion can improve the diagnostic accuracy of DRF detection in the study setting.
Authors
- Zsolt Bertalan
- Heinz R. Redl (ORCID: https://orcid.org/0000-0003-1654-462X)
- Richard Ljuhar
- S. Quadlbauer (ORCID: https://orcid.org/0000-0001-6188-109X)
- Johannes Grillari (ORCID: https://orcid.org/0000-0001-5474-6332)
- T. Hausner (ORCID: https://orcid.org/0000-0002-2225-7021)
- Rosmarie Breu (ORCID: https://orcid.org/0009-0004-2208-744X)
- Carolina Avelar
Institutions
- Institute of Molecular Biotechnology (AT)
- Paracelsus Medical University (AT)
- Ludwig Boltzmann Institute for Traumatology, The Research Center in Cooperation with AUVA (AT)
- Orthopaedic Hospital Speising (AT)
- Austrian Cluster for Tissue Regeneration (AT)
- Ludwig Boltzmann Institute for Digital Health and Prevention (AT)
- BOKU University (AT)
Publication Details
- Journal
- Bone and Joint Research
- Published
- 2024-10-17
- DOI
- https://doi.org/10.1302/2046-3758.1310.bjr-2023-0275.r3
- Citations
- 10
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.20
Funders
- Wirtschaftsagentur Wien