Picture this: Your doctor orders an imaging test like a chest X-ray in preparation for an upcoming procedure, and the results show a small white spot in the center of your lungs—a pulmonary or lung ...

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 ...

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 ...

Background and objectives Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of pulmonary nodules is crucial for timely diagnosis and effective treatment.

When screening patients for lung cancer with low-dose computed tomography (CT), raising the nodule size threshold from 5 mm to 7 or 8 mm before starting a more intensive workup could result in fewer ...

We were unable to process your request. Please try again later. If you continue to have this issue please contact customerservice@slackinc.com. A greater proportion of men vs. women nonsmokers had a ...

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 ...

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 results. Results ...