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 ...

Tempus AI, Inc. TEM recently announced a collaboration with Median Technologies to integrate Median’s proprietary eyonis LCS solution into the Tempus Pixel platform. The integration is expected to ...

New robotic bronchoscopy technology at Sentara Leigh allows doctors to reach lung nodules that were previously too small or ...

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.

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 ...

Shira Boehler shares her journey being diagnosed with Stage 1 lung cancer. A doctor explains the need for better lung cancer screening for asymptomatic, never smokers.

Dr. Russell Hardie with the Department of Electrical and Computer Engineering has been awarded an National Institutes of Health (NIH) grant to harness artificial intelligence (AI) to revolutionize the ...

According to the American Cancer Society, lung cancer is the deadliest cancer in the United States and the second most common type of cancer. A promising new approach could change that: advanced ...

Please provide your email address to receive an email when new articles are posted on . Pulmonary nodule stability was frequently observed on veterans’ follow-up CT scans. Other findings on follow-up ...

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, ...