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 ...

Model and clinical segmentation examples. (A) 71-year-old female with non-small cell lung cancer (NSCLC) from the internal test set. (B) 87-year-old male with NSCLC from the external test set. Both ...

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 ...

A deep learning model was able to predict future lung cancer risk from a single low-dose chest CT scan, according to new research published at the ATS 2025 International Conference, and in American ...

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: ...

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 ...

In patients with head and neck squamous cell carcinoma (HNSCC), low-dose CT achieved higher sensitivity than chest x-ray for detecting lung metastases and second primary lung cancer, but patients ...

Recently, a patient came to the hospital where I work with a persistent cough. Their doctor had ordered a CT scan – a type of ...