Published online Jun 28, 2020. doi: 10.35713/aic.v1.i1.19
Peer-review started: May 14, 2020
First decision: June 8, 2020
Revised: June 17, 2020
Accepted: June 19, 2020
Article in press: June 19, 2020
Published online: June 28, 2020
Core tip: Artificial intelligence has been shown to help clinicians make more accurate judgments and decisions in non-small cell lung cancer screening and preliminary evaluation of lung nodules, histological differentiation and diagnosis, genomic identification, decision-making of therapy, prognosis of overall survival, metastasis or recurrence. Electronic medical records could be used as a source of artificial intelligence to help clinicians. This manuscript reviews the state of art artificial intelligence applications in clinical non-small cell lung cancer for those who will be interested in this field.