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Publications

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

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

Artificial intelligence: the key to significant reduction in baseline LDCT lung cancer screening associated workload when used as a first-read filter

Current and Future Perspectives on Computed Tomography Screening for Lung Cancer: A Roadmap From 2023 to 2027 From the International Association for the Study of Lung Cancer

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

Inter-Reader Agreement of AI Versus Human Readers in Baseline LDCT Lung Nodule Classification; A UKLS Trial Dataset Sub-Study

Lung cancer volume doubling time by computed tomography: A systematic review and meta-analysis

Substantial radiologist workload reduction can be achieved if artificial intelligence is used as a first-read filter at baseline in lung cancer screening