Accuracy of a deep neural network for automated pulmonary embolism detection on dedicated CT pulmonary angiograms
The proposed DNN-based algorithm provides excellent performance for the detection of PE, suggesting its potential utility to support radiologists in clinical reading and exam prioritization.
Authors
- Nicola Fink (ORCID: https://orcid.org/0000-0002-3089-9606)
- Emese Zsarnóczay (ORCID: https://orcid.org/0000-0002-7952-8478)
- Ákos Varga‐Szemes (ORCID: https://orcid.org/0000-0002-2781-7462)
- Chiara Gnasso (ORCID: https://orcid.org/0000-0001-8005-5439)
- Dmitrij Kravchenko (ORCID: https://orcid.org/0000-0003-0331-2045)
- Florin Condrea (ORCID: https://orcid.org/0009-0003-6189-4976)
- Huizhen Sam
- U. Joseph Schoepf (ORCID: https://orcid.org/0000-0002-6164-5641)
- Saikiran Rapaka (ORCID: https://orcid.org/0000-0001-6527-0974)
- Giuseppe Tremamunno (ORCID: https://orcid.org/0000-0001-6484-9765)
- Thomas M. Todoran (ORCID: https://orcid.org/0000-0003-1815-5943)
- James Francis Griffith (ORCID: https://orcid.org/0000-0001-5206-9382)
- Muhammad Taha Hagar (ORCID: https://orcid.org/0000-0001-9826-2372)
- Milán Vecsey-Nagy (ORCID: https://orcid.org/0000-0001-9306-289X)
- Tilman Emrich (ORCID: https://orcid.org/0000-0003-4156-7727)
- Jim O’Doherty (ORCID: https://orcid.org/0000-0003-2989-4485)
- Pál Maurovich‐Horvat (ORCID: https://orcid.org/0000-0003-0885-736X)
- Puneet Sharma (ORCID: https://orcid.org/0000-0002-4295-1379)
- M. Bowman
- Sydney Derrick
- Mikayla Tiller
- Kathleen Godoy
Institutions
- Semmelweis University (HU)
- Medical University of South Carolina (US)
- Vita-Salute San Raffaele University (IT)
- Johannes Gutenberg University Mainz (DE)
- University Hospital Bonn (DE)
- University Medical Center Freiburg (DE)
- University Medical Center of the Johannes Gutenberg University Mainz (DE)
- Medical Solutions (GB)
- Azienda Ospedaliera Sant'Andrea (IT)
- Siemens Healthcare (United States) (US)
- Ludwig-Maximilians-Universität München (DE)
Publication Details
- Journal
- European Journal of Radiology
- Published
- 2025-03-31
- DOI
- https://doi.org/10.1016/j.ejrad.2025.112077
- Citations
- 5
- Primary Topic
- Venous Thromboembolism Diagnosis and Management
- Type
- article
- Field-Weighted Citation Impact
- 9.35
Funders
- Siemens Medical Solutions USA