Researchers have found a link between healthier diets containing fruits, vegetables, and whole grains and higher rates of ...
Researchers developed and validated a new lung cancer prediction model, Sybil-Epi, by integrating clinical and epidemiologic data with a pre-existing model.
Standard-of-care imaging and risk models indicated cancer after lung screening revealed 30-millimeter pulmonary noduleCyPath® Lung test affirmed physician’s assessment that the nodule could be ...
The surgical robotics company initiated a publication program examining clinical outcomes and economic benefits of minimally ...
Robotic-assisted bronchoscopy with embedded digital tomosynthesis achieved tool-in-lesion, confirmed via cone beam CT, in nearly all patients with peripheral pulmonary nodules, according to data ...
Screening rules are too narrow and keep patients from receiving care until it’s too late, say many Boston-area researchers ...
Invitation-only conference focuses on the evolving landscape of lung cancer risk and early detection when the disease is most treatablebioAffinity Technologies Chief Medical Officer Gordon Downie, MD, ...
Abstract: Early detection of lung cancer through CT imaging significantly improves patient survival rates. Precise segmentation of pulmonary nodules is essential for computer-aided diagnostic systems ...
Accurate preoperative localization is crucial to improving the success rates of thoracoscopic surgery and minimizing postoperative complications. Hook-wire localization can be inaccurate when marking ...
Led by researchers at the Vanderbilt University Medical Center, a new study reports that Optellum's FDA-cleared Lung Cancer Prediction (LCP) AI assisted risk stratification for indeterminate lung ...
Copyright: © 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. Stage III non-small-cell ...
Abstract: Early and precise detection of pulmonary nodules is crucial for improving the diagnosis and treatment outcomes of lung cancer. However, manual reading of traditional CT images has ...