A model integrating deep learning with clinical and epidemiologic data may significantly improve lung cancer risk prediction based on LDCT screening.
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 ...
Researchers assessed the extent to which new or growing nodules detected on follow-up rounds of LDCT lung cancer screening indicated the risk for malignancy.
VIGICANCER: Understanding Real-World Childhood Cancer Clinical Outcomes in Colombia to Inform Cancer Control Policy A systematic review was conducted to evaluate the diagnostic accuracy of ...
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 ...
Abstract: The proposed approach offers a new methodology for lung nodule recognition utilizing transformer-based architectures combined with a multi-view radiomics fusion framework. This approach ...
Abstract: Lung cancer is still a serious health risk, especially in places like India where smoking is common and infections are common. Diagnostics are made more difficult by the fact that ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results