Radiologists are studying how artificial intelligence might help them catch lung cancer nodules at an earlier stage.

Here’s a quick look at some of the benefits: Early Risk Detection: AI can spot early risks for diseases like Alzheimer’s and ...

Pulmonary rheumatoid nodules can resemble cancer or infection, making biopsy and careful imaging critical for accurate ...

The new lung cancer screening program needs to be independently evaluated to keep it on track, and to minimise the harms.

Australia’s new lung cancer screen program further disadvantages Aboriginal and Torres Strait Islander peoples, who are ...

A biomarker could help identify patients with lung cancer who are most likely to benefit from treatment with AstraZeneca and Daiichi Sankyo's TROP2-directed drug datopotamab deruxtecan (Dato-DXd).

The FDA thinks an antibody-drug conjugate (ADC) developed by AbbVie could set new standards in treatment for certain patients with lung cancer, awarding the drug breakthrough status. Teliso-V ...

This paper proposes a Convolutional U-Net architecture, a variation of the standard U-Net architecture for the segmentation of lung nodules and classification using Deep learning on Computerized ...

In order to accurately segment lung nodules in CT images, this paper proposes an improved U-Net network for lung nodule segmentation. This method integrates the Mobilenetv2 network and changes the ...

Jan. 9, 2025 — Researchers have shown that a test called ORACLE can predict lung cancer survival at the point of diagnosis better than currently used clinical risk factors.