Researchers have used a chemical compound to light up treatment-resistant cancers on imaging scans, in a breakthrough that ...

Convolutional neural network (CNN)-based chronic obstructive pulmonary disease (COPD) diagnosis and staging using sin ...

The integration of machine learning in cancer imaging is revolutionizing diagnostics, improving early detection and treatment ...

With the help of an AI tool, computed tomography (CT) scans taken originally to look for tumors or bleeding or infections, ...

CT scans from consecutive participants screened for lung cancer between March 2017 and November 2018 were reviewed. Coronary artery calcium was quantified, and the composite primary outcome of ...

An increasing number of non-smokers are being diagnosed with lung cancer for a variety of reasons. To better understand this growing concern, we reached out to a health expert who provided valuable ...

Lung cancer screening with low-dose chest computed tomography (CT) may detect more than just lung cancer. As new research in CMAJ (Canadian Medical Association ...

Margaret Jones had a CT scan in February 2019 showing cause for concern in her right lung. But it wasn't until December 2023 that the gran-of-ten was diagnosed with lung cancer. Her daughters say ...

In the past, mediastinoscopy was the procedure most commonly used to diagnose lung cancer. But, because mediastinoscopy is an invasive surgical procedure, it has been largely replaced by a combination ...

However, during a routine magnetic resonance imaging (MRI) scan, doctors discovered that the cancer had spread to Ms Lee’s brain, resulting in 11 lesions. This is a common progression in lung ...