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Lung Cancer (Amsterdam, Netherlands)|February 5, 2022
Outstanding negative prediction performance of solid pulmonary nodule volume AI for ultra-LDCT baseline lung cancer screening risk stratificationHarriet L Lancaster, Sunyi Zheng, Olga O Aleshina, et al.American Journal of Physiology. Renal Physiology|March 15, 2021
Machine-perfused donor kidneys as a source of human renal endothelial cellsRosa G M Lammerts, Lisanne M Lagendijk, Gesa Tiller, et al.Cancers|March 14, 2026
Improving Lung Cancer Screening Selection: A Comparative Analysis of Risk Models and Traditional Criteria in a Western European General PopulationDanrong Zhong, Grigory Sidorenkov, Marcel J W Greuter, et al.Journal of Thoracic Oncology : Official Publication of the International Association for the Study of Lung Cancer|July 24, 2023
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 CancerStephen Lam, Chunxue Bai, David R Baldwin, et al.European Journal of Cancer (Oxford, England : 1990)|March 1, 2025
Action plan for an international imaging framework for implementation of global low-dose CT screening for lung cancerHarriet L Lancaster, Anna N H Walstra, Kyle Myers, et al.European Journal of Cancer (Oxford, England : 1990)|February 4, 2025
Paradigm shift in early detection: Lung cancer screening to comprehensive CT screeningJames L Mulshine, Bruce Pyenson, Cheryl Healton, et al.European Journal of Cancer (Oxford, England : 1990)|March 16, 2025
AI integrations with lung cancer screening: Considerations in developing AI in a public health settingJames L Mulshine, Ricardo S Avila, Mario Silva, et al.Pageof 2