In a recent study published in Nature Medicine, Wang, Shao, and colleagues successfully addressed two critical issues of lung cancer (LC) screening with low-dose computed tomography (LDCT) whose widespread implementation, despite its capacity to decrease LC mortality, remains challenging: (1) the dif culty in accurately distinguishing malignant nodules from the far more common benign nodules detected on LDCT, and (2) the insuf cient coverage of LC screening in resource-limited areas.

Artificial intelligence propels lung cancer screening: innovations and the challenges of explainability and reproducibility / Mascalchi M.; Marzi C.; Diciotti S.. - In: SIGNAL TRANSDUCTION AND TARGETED THERAPY. - ISSN 2059-3635. - ELETTRONICO. - 10:(2025), pp. 18.0-18.0. [10.1038/s41392-024-02111-9]

Artificial intelligence propels lung cancer screening: innovations and the challenges of explainability and reproducibility

Mascalchi M.;Marzi C.;
2025

Abstract

In a recent study published in Nature Medicine, Wang, Shao, and colleagues successfully addressed two critical issues of lung cancer (LC) screening with low-dose computed tomography (LDCT) whose widespread implementation, despite its capacity to decrease LC mortality, remains challenging: (1) the dif culty in accurately distinguishing malignant nodules from the far more common benign nodules detected on LDCT, and (2) the insuf cient coverage of LC screening in resource-limited areas.
2025
Goal 3: Good health and well-being
Mascalchi M.; Marzi C.; Diciotti S.
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1469819
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