Radiomics analysis to predict pulmonary nodule malignancy using machine learning approaches

Conclusions
We developed highly accurate ML models based on radiomic and epidemiological features from four international lung cancer screening studies that may be suitable for assessing indeterminate screen-detected pulmonary nodules for risk of malignancy.

Source: Thorax - March 15, 2024 Category: Respiratory Medicine Authors: Warkentin, M. T., Al-Sawaihey, H., Lam, S., Liu, G., Diergaarde, B., Yuan, J.-M., Wilson, D. O., Atkar-Khattra, S., Grant, B., Brhane, Y., Khodayari-Moez, E., Murison, K. R., Tammemagi, M. C., Campbell, K. R., Hung, R. J. Tags: Thorax Lung cancer Source Type: research