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Publications

A Game-Changing 20 Years: Progress and Future Directions in Lung Cancer Screening

AI performance for nodule volume doubling time in the follow-up of the UKLS lung cancer screening study compared to expert consensus and histological validation

Artificial intelligence as an independent reader of risk-dominant lung nodules: influence of CT reconstruction parameters

Association of CT-assessed sarcopenia and the development of immune-related adverse events and overall survival: a multistate survival analysis

Automated artificial intelligence performance for longitudinal pulmonary nodule matching in lung cancer screening

Clinical urgency of incidental findings in the first year of the 4-IN-THE-LUNG-RUN lung cancer screening program

CT-based body composition and its change through time in relation to outcomes in participants screened for lung cancer

ERS Congress 2025: highlights from the Thoracic Oncology Assembly

Externally Tested AI Models for Malignancy Classification of Lung Nodules at CT: A Systematic Review and Meta-Analysis

Features of low-dose CT-detected lung nodules: individuals who never smoked vs. who smoke(d) in a Chinese general population

Sustainable Development Goals

SDG 3 - Good Health and Well-beingSDG 10 - Reduced InequalitiesSDG 16 - Peace, Justice and Strong Institutions

More information about the Sustainable Development Goals.