With the use of AI algorithms, EGFR status could be predicted by combining clinical and CT features such as smoke history, tumor size, bubble-like lucency, enhancement pattern, presence of pleural retraction, and thickened adjacent bronchovascular bundles (AUC = 0.778) [83]. The gene discussed is EGFR; the disease is neoplasm.