Unlocking the potential of radiomics in identifying fibrosing and inflammatory patterns in interstitial lung disease
Radiomics combined with explainable AI offers promising diagnostic support in distinguishing fibrotic from inflammatory ILD patterns and differentiating inflammatory ILDs from viral pneumonias. This approach could enhance diagnostic precision and provide quantitative support for personalized ILD management.
Authors
- Chiara Romei (ORCID: https://orcid.org/0000-0003-3023-8784)
- Francesco Pistelli (ORCID: https://orcid.org/0000-0001-5612-6364)
- Emanuele Neri (ORCID: https://orcid.org/0000-0001-7950-4559)
- Greta Alì (ORCID: https://orcid.org/0000-0001-9258-3466)
- Laura Tavanti
- Sara Colantonio (ORCID: https://orcid.org/0000-0003-2022-0804)
- Leonardo Colligiani (ORCID: https://orcid.org/0000-0002-6217-4933)
- Chiara Marzi (ORCID: https://orcid.org/0000-0002-1791-3573)
- Vincenzo Uggenti
Institutions
- University of Pisa (IT)
- Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" (IT)
- Azienda Ospedaliera Universitaria Pisana (IT)
- University of Florence (IT)
Publication Details
- Journal
- La radiologia medica
- Published
- 2025-08-22
- DOI
- https://doi.org/10.1007/s11547-025-02067-y
- Citations
- 2
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 2.72
Funders
- Università degli Studi di Firenze