Background Limited data are available regarding whether computer-aided diagnosis (CAD)
improves assessment of malignancy risk in indeterminate pulmonary nodules (IPNs) …

The analysis of exhaled breath condensate (EBC) demonstrates a promising avenue of
minimally invasive biopsies for diagnostics. EBC is obtained by cooling exhaled air and …

Importance Guideline-concordant management of lung nodules promotes early lung cancer
diagnosis, but the lung cancer risk profile of persons with incidentally detected lung nodules …

Lung nodules are frequently detected on low‐dose computed tomography scans performed
for lung cancer screening and incidentally detected on imaging performed for other reasons …

Objective To evaluate whether an imaging classifier for radiology practice can improve lung
nodule classification and follow-up. Methods A machine learning classifier was developed …

Incidental imaging findings are a considerable health problem, because they generally
result in low-value and potentially harmful care. Healthcare professionals struggle how to …

Pulmonary nodules and masses are crucial imaging features in lung cancer screening that
require careful management in clinical diagnosis. Despite the success of deep learning …

Accurate, non-invasive, and cost-effective tools are needed to assist pulmonary nodule
diagnosis and management due to increasing detection by low-dose computed tomography …

Background Pulmonary nodules are a common incidental finding on CT imaging. Few
studies have described patient and nodule characteristics associated with a lung cancer …

Background Appropriate risk stratification of indeterminate pulmonary nodules (IPNs) is
necessary to direct diagnostic evaluation. Currently available models were developed in …