The machine learning programme demonstrated 97% accuracy in differentiating adenocarcinoma from squamous cell carcinoma. These two types of lung cancer are considered difficult to distinguish without confirmatory tests.
In addition, the AI tool was able to identify genetic changes related to abnormal cell growth of tumours.
It determined the presence of abnormal versions of six genes related to the cancer, with an accuracy ranging between 73% and 86%, based on the gene.