ArticleRadiology advances2025
Artificial intelligence software for detecting unsuspected lung cancer on chest radiographs in an asymptomatic population.
Article in Radiology advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Detecting clinically unsuspected lung cancer on chest radiographs is challenging. Artificial intelligence (AI) software that performs comparably to radiologists may serve as a useful tool. Purpose: To evaluate the lung cancer detection performance of a commercially available AI software and to that of humans in a healthy population. Materials and Methods: This retrospective study used chest radiographs from the Prostate, Lung, Colorectal, and Ovarian (PLCO) cancer screening trial in the United States between November 1993 and July 2001 with pathological cancer diagnosis follow-up to 2009 (median 11.3 years). The software's predictions were compared to the PLCO radiologists' reads. A reader study was performed with a subset comparing the software to 3 experienced radiologists. Results: The analysis included 24 370 individuals (mean age 62.6 Conclusion: AI detects lung cancer on chest radiographs among asymptomatic individuals with comparable performance to experienced radiologists.
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