Artificial Intelligence Tools for Refining Lung Cancer Screening.

摘要: Nearly one-quarter of all cancer deaths worldwide are due to lung cancer, making this disease the leading cause death among both men and women. The most important determinant survival in is stage at diagnosis, thus developing an effective screening method for early diagnosis has been a long-term goal care. In last decade, based on results large clinical trials, programs using low-dose computer tomography (LDCT) high-risk individuals have implemented some settings, however, various limitations, especially high false-positive rate which eventually number unnecessary diagnostic therapeutic interventions screened subjects. By complex algorithms software, artificial intelligence (AI) capable emulate human cognition analysis, interpretation, comprehension complicated data currently, it being successfully applied healthcare settings. Taking advantage ability AI quantify information from images, its superior capability recognizing patterns images compared humans, potential aid clinicians interpretation LDCT obtained setting screening. several models aimed improve detection reported. Some performed equal or even outperformed experienced radiologists distinguishing benign malign nodules those improved accuracy decreased rate. Here, we discuss recent publications utilized assess chest (CT) scans imaging obtaining