Quantitative assessment of lung opacities from CT of pulmonary artery imaging data in COVID-19 patients: artificial intelligence versus radiologist
The Pulmonary Density Plug-in enables quantitative analysis of lung opacities in COVID-19 patients using contrast-enhanced CT images, potentially streamlining clinical workflows and supporting timely decision-making.
Authors
- Ann Svensson (ORCID: https://orcid.org/0000-0002-1421-868X)
- Terence C. Amis (ORCID: https://orcid.org/0000-0001-8436-2823)
- Peter D. Wagner (ORCID: https://orcid.org/0000-0001-7957-7432)
- Atul Malhotra (ORCID: https://orcid.org/0000-0002-9509-1827)
- G. Kim Prisk (ORCID: https://orcid.org/0000-0002-6344-4720)
- Kristina Kairaitis (ORCID: https://orcid.org/0000-0002-8808-3183)
- Anna Kistner (ORCID: https://orcid.org/0000-0002-7942-3211)
- Catherine Farrow
- Piotr Harbut (ORCID: https://orcid.org/0000-0002-0943-7837)
Institutions
- The University of Sydney (AU)
- Karolinska University Hospital (SE)
- Westmead Hospital (AU)
- Karolinska Institutet (SE)
- University of California San Diego (US)
- Westmead Institute for Medical Research (AU)
Publication Details
- Journal
- BJR|Open
- Published
- 2024-12-27
- DOI
- https://doi.org/10.1093/bjro/tzaf008
- Primary Topic
- Advanced X-ray and CT Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00