First steps in clinical implementation of a lung nodule classification method by artificial intelligence.

Computed tomography (computed tomography) is currently the reference imaging modality for lung cancer screening.

Recent advances in Artificial Intelligence (Artificial Intelligence), particularly Deep Learning (Deep Learning), have significantly improved automated medical image analysis and diagnostic accuracy.

In this study, we propose a Convolutional Neural Network (Convolutional Neural Network)-based approach for pulmonary nodule classification.

The experimental dataset included 1,103 malignant images, 508 benign images, and 427 normal images.