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Publicaties

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

Improving Lung Cancer Screening Selection: A Comparative Analysis of Risk Models and Traditional Criteria in a Western European General Population

Real World Lung Cancer Screening Challenges: Lung nodule management and integration of AI

Volume and location of screen-detected lung nodules associated with lung cancer within two-year follow-up: Post hoc analysis from the UK Lung Cancer Screening (UKLS) trial

Action plan for an international imaging framework for implementation of global low-dose CT screening for lung cancer

AI integrations with lung cancer screening: Considerations in developing AI in a public health setting

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

Corrigendum to: Feasibility of AI as first reader in the 4-IN-THE-LUNG-RUN lung cancer screening trial: Impact on negative-misclassifications and clinical referral rate (European Journal of Cancer (2025) 216, 115214 (S0959804924018215), (10.1016/j.ejca.2024.115214))

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

Paradigm shift in early detection: Lung cancer screening to comprehensive CT screening