Deep learning model predicts growth of lung ground-glass nodules
A multimodal deep learning framework combining CT radiomics, clinical variables, and EGFR status predicted growth trends of pulmonary ground-glass nodules ...
A multimodal deep learning framework combining CT radiomics, clinical variables, and EGFR status predicted growth trends of pulmonary ground-glass nodules ...
A new review details the major updates to the ACR's Lung-RADS system, from Category 0 and expanded juxtapleural criteria to ...
A scoping review of five studies finds photon-counting detector CT improves pulmonary nodule image quality and reveals additional morphologic features ...
A new Cancer Imaging editorial argues that volumetric nodule measurement and volume doubling time outperform diameter-based assessment in lung cancer ...
Interviews with 22 healthcare professionals and 13 potential participants in Flanders reveal broad support for population-based lung cancer screening alongside ...
A modeling study finds risk-based LDCT screening thresholds in Singapore could improve efficiency and health gains compared with conventional age ...
A new review proposes measuring robotic bronchoscopy by clinically actionable yield — whether one procedure delivers diagnosis, molecular profiling and ...
A prospective observational study found that mobile low-dose CT screening reached 2,018 high-risk people in Northeast Brazil, detected 19 lung ...
New abstracts from the CHEST 2026 Annual Meeting in Phoenix span asthma, COPD, bronchiectasis, fibrotic lung disease, lung cancer screening, ...
A new study of 308 patients traces how uncertainty about whether a lung nodule is cancerous drives anxiety through negative ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine