Immune infiltrate characterization and differential gene expression by RNA-sequencing analysis in patients with oncogene-addicted NSCLC with early progression under targeted therapy. This is an ASCO ...
A deep-learning serial CT biomarker improves survival prediction in immunotherapy-treated NSCLC and outperforms RECIST. Find ...
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 ...
The FDA has cleared RevealDx’s AI-powered lung nodule risk assessment software, RevealAI-Lung, according to a company press ...
Using just one inhalation lung CT scan, a deep learning model can accurately diagnose and stage chronic obstructive pulmonary disease (COPD), according to a study published today in Radiology: ...
At similar radiation doses, ultra-low-dose CT (ULDCT) achieved superior image quality using AI-enhanced iterative reconstruction than chest x-rays for assessing cystic fibrosis-related lung disease in ...
Serial CTRS was developed from routine-care CTs and externally validated across 10 institutions and the phase 1 GARNET trial, covering ICI monotherapy and combinations across all lines. Multivariable ...
Tu, H. and Huang, Y.Y. (2026) Progress in Quantitative Imaging Assessment of Dermatomyositis-Associated Interstitial Lung ...
PHILADELPHIA (WPVI) -- Low-dose CT scans are saving lives by finding lung cancer earlier. However, those tests have an even bigger value in overall health. Lung cancer survival has risen since the US ...
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