Researchers from the University of Liverpool and the Research Institute for Diagnostic Accuracy, Netherlands, have demonstrated that artificial intelligence can significantly improve lung cancer screening efficiency. The study, published in the European Journal of Cancer, shows AI can accurately rule out negative low-dose CT scans, potentially reducing radiologists’ workload by up to 79%. The AI tool, developed by Coreline Soft Co. Ltd., South Korea, successfully identified scans without significant lung nodules while ensuring all confirmed lung cancer cases were flagged for further review. This advancement could help optimize healthcare resources and ensure timely diagnoses in lung cancer screening programs worldwide.