Potential for AI as first reader in lung cancer screening
AI reading showed comparable sensitivity but lower specificity than human reading. High NPV of AI may support its use as a first reader in LCS.
Authors
- Margherita Ruggirello
- Roberta Eufrasia Ledda (ORCID: https://orcid.org/0000-0003-3184-2676)
- Luigi Rolli (ORCID: https://orcid.org/0000-0002-6673-5785)
- Nicola Sverzellati (ORCID: https://orcid.org/0000-0002-4820-3785)
- Ugo Pastorino (ORCID: https://orcid.org/0000-0001-9974-7902)
- Federica Sabia (ORCID: https://orcid.org/0000-0001-7334-8962)
- Camilla Valsecchi
- Alfonso Marchianò (ORCID: https://orcid.org/0000-0003-1379-878X)
- Maurizio Balbi (ORCID: https://orcid.org/0000-0002-8436-3655)
- Gianluca Milanese
Institutions
- University of Parma (IT)
- Ospedale San Luigi Gonzaga (IT)
- Fondazione IRCCS Istituto Nazionale dei Tumori (IT)
Publication Details
- Journal
- European Journal of Radiology
- Published
- 2025-11-20
- DOI
- https://doi.org/10.1016/j.ejrad.2025.112561
- Citations
- 2
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 3.04