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 ...
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: ...
Comparative Analysis of Generative Pre-Trained Transformer Models in Oncogene-Driven Non–Small Cell Lung Cancer: Introducing the Generative Artificial Intelligence Performance Score This ...
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 ...
Dr George Owiti, a radiographer at Kericho County Hospital examines the Chest CT results of a patient admitted to the hospital. [James Wanzala, Standard] Despite recent breakthroughs that have ...
Use of CT is proven to save lives in patients eligible for lung cancer screening, which includes most patients with COPD, said Barr, professor of medicine and epidemiology at Columbia University ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results