Diagnostic performance of an artificial intelligence model for the detection of pneumothorax at chest X-ray
The proposed tool could represent an aid to radiologists in detecting PTX, improving specificity. Further improvement with training on more challenging cases may pave the way for its use as a screening or standalone tool.
Authors
- Francesco Rizzetto (ORCID: https://orcid.org/0000-0003-3451-9874)
- Angelo Vanzulli (ORCID: https://orcid.org/0000-0002-2452-3370)
- Lorenzo Bianchi (ORCID: https://orcid.org/0000-0002-8951-0482)
- Luca Alessandro Carbonaro (ORCID: https://orcid.org/0000-0001-6852-6314)
- Caterina Beatrice Monti (ORCID: https://orcid.org/0000-0002-9539-8642)
Institutions
- University of Milan (IT)
- Ospedale Maggiore (IT)
- Azienda Socio Sanitaria Territoriale Grande Ospedale Metropolitano Niguarda (IT)
Publication Details
- Journal
- Clinical Imaging
- Published
- 2024-11-12
- DOI
- https://doi.org/10.1016/j.clinimag.2024.110355
- Citations
- 6
- Primary Topic
- Ultrasound in Clinical Applications
- Type
- article
- Field-Weighted Citation Impact
- 2.53