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Publications

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

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

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

Incidence and lung cancer probability of new nodules in the UK lung screening trial

Negligible impact of perifissural nodules in an AI-first reader workflow from UK lung screening trial

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

Sustainable Development Goals

SDG 3 - Good Health and Well-being

More information about the Sustainable Development Goals.