Please provide your email address to receive an email when new articles are posted on . The negative predictive value of a biomarker that detects benign vs. malignant nodules was more than 90% in men ...

Please provide your email address to receive an email when new articles are posted on . Researchers did not find noninferiority when comparing less with more intensive module surveillance. They also ...

Lung nodules are clusters of cells found during an x-ray or CT scan that appear as more dense or white spots in the lungs. They might surprise you because lung nodules generally do not cause symptoms, ...

A risk prediction model developed using clinical and radiological features could stratify individuals presenting with a lung nodule as having high or low risk for lung cancer. The study is published ...

A solitary pulmonary nodule (SPN) is an isolated lung growth surrounded by normal tissue. Most SPNs are benign (not cancerous) when they're diagnosed. However, some nodules that enlarge and change ...

Radiologists using artificial intelligence (AI)-based software in real clinical practice were better able to detect lung nodules on chest radiographs than radiologists using radiographs alone, ...

The proposed CNN-based system demonstrates the feasibility and robustness of deep learning for automatic lung nodule detection and classification. Despite strong results, the study acknowledges ...

BOULDER, Colo.--(BUSINESS WIRE)--Biodesix, Inc. (Nasdaq: BDSX), a leading data-driven diagnostic solutions company with a focus in lung disease, announced today that three data presentations will ...

Thanks to a multidisciplinary approach and state-of-the-art procedures, physicians at FMOL Health | Our Lady of the Lake are addressing lung nodules with more detail and precision than ever before.