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 E-Mail PHILADELPHIA - A machine learning-based tool was able to predict the risk of malignancy among patients presenting with multiple pulmonary nodules and outperformed human experts, previously validated mathematical models, and a previously established artificial intelligence tool, according to results published in Clinical Cancer Research, a journal of the American Association for Cancer Research. Tools currently available can predict malignancy in patients with single nodules; predictive tools for patients presenting with multiple nodules are limited. With the adoption of widespread use of thoracic computed tomography (CT) for lung cancer screening, the detection of multiple pulmonary nodules has become increasingly common, said study author Kezhong Chen, MD, vice professor in the Department of Thoracic Surgery at Peking University People s Hospital in China. Among patients presenting with a pulmonary nodule on a CT scan in a previous lung cancer screening trial, rough

Soult ukpyolsiSouth koreaUnited statesJun wangRepublic of koreaRichard lobbKezhong chenAmerican association for cancer researchNational natural science foundation of chinaCardiovascular surgery at seoul national university hospitalSeoul national university college of medicineUniversity people hospitalDepartment of thoracicClinical cancer researchAmerican associationThoracic surgery