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Leveraging Artificial Intelligence to Transform Thoracic Radiology for Lung Nodules and Lung Cancer - Applications, Challenges, and Future Directions

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

Potential for AI as first reader in lung cancer screening

Effectiveness of NELSON versus PLCOm2012 lung cancer screening eligibility criteria in Germany (HANSE): a prospective cohort study

Integrative modeling of longitudinal cell-free DNA and tumor volume dynamics: a multimodal quantitative prognostic framework

Design and rationale of the ZORALCS study: An implementation study of lung cancer screening by low-dose computed tomography coupled to a smoking cessation randomized controlled trial in the Flemish region

Comparison of nodule volumetric classification by using two different nodule segmentation algorithms in an LDCT lung cancer baseline screening dataset

Histological proven AI performance in the UKLS CT lung cancer screening study: Potential for workload reduction