A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

The new artificial intelligence-based software and robot-assisted biopsy technology helps providers catch and treat lung cancer in its earliest stages.

Hospital Sisters Health System is using artificial intelligence to help catch lung cancer earlier, but sometimes before ...

While the U.S. election dominated global headlines, there has been lots of other news you may have missed, including Microsoft researchers who detected lung cancer risks through web search logs, and ...

Cancer diagnoses traditionally require invasive or labor-intensive procedures such as tissue biopsies. Researchers at the Ludwig-Maximilians-Universität München (LMU) have now reported on a method ...

Researchers at Michigan State University created an insect brain-based gas sensing platform to detect lung cancer cell lines. With more development, the technology could be used to detect cancer and ...

OAK BROOK, Ill. – An artificial intelligence (AI) deep learning tool that estimates the malignancy risk of lung nodules achieved high cancer detection rates while significantly reducing false-positive ...