Artificial intelligence in lung cancer screening: Assessment of the diagnostic accuracy of the algorithm analyzing low-dose computed tomography

Abstract

The diagnostic accuracy of the artificial intelligence algorithm aimed to detect lesions on low-dose computer tomograms has been independently assessed. The dataset formed as part of the lung cancer screening program in Moscow was used. The following indicators have been defined: sensitivity – 0.817%, specificity – 0.925%, accuracy – 0.860%, area under the characteristic curve – 0.930. High accuracy rates demonstrated through the independent assessment indicate a good reproducibility of the results by artificial intelligence using independent data about the population of Moscow.