Detection of metastasis of mediastinal lymph nodes in lung cancer patients with an artificial intelligence model

[2] Computed tomography (CT) is a common method for the preoperative prediction of lymph node metastasis among lung cancer patients. [...]more accurate prediction of lymph node metastasis is important for lung cancer treatment. [...]we performed an assessment to compare the efficiency of our model in diagnosing mediastinal lymph nodes with radiologists. According to the receiver operator characteristic curve (ROC) of diagnosis efficiency, the sensitivity and specificity of our algorithm achieved 82.5% (95% CI, 75.5–89.6%) and 95.1% (95% CI, 88.0–100.0%), respectively, in the validation dataset [Figure 1C]. According to the loss function of model training, the sensitivity increased obviously following training times [Supplementary Figure 3, http://links.lww.com/CM9/B163].