A deep learning radiomic biomarker has been developed and validated to predict responses to immune checkpoint inhibitors in ...

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

Dr. Watanabe and his team focused on PET/CT scan, a nuclear imaging ... in noncancerous lungs, namely lung regions without cancer, using AI analysis of PET/CT images. The study demonstrated ...

Lung cancer, the most commonly diagnosed ... and Critical Care Medicine. Based on a dataset of more than 500,000 computerized tomography (CT) images, Li’s team has trained an AI model to ...

Using just one inhalation lung CT scan, a deep learning model can accurately diagnose and stage chronic obstructive pulmonary ...

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

[James Wanzala, Standard] Despite recent breakthroughs that have improved survival rates, lung ... cancer spread,” says Dr Mutua. In contrast, he says a chest CT scan provides detailed images ...

Beth Asbrock, aware of her risk for lung cancer, undergoes annual lung screenings at Ohio's UC Health. The screenings provide CT scan images for her medical team, which are now enhanced by AI ...

Typically, the images that result from ultrasounds, CT scans, MRI procedures ... medical professionals spot and predict pancreatic cancer, lung cancer, breast cancer, and other sneaky and life ...

November is Lung Cancer Awareness ... Low-dose CT scans are a type of medical imaging that allows doctors to detect abnormalities in the lungs through clear images with minimal radiation exposure.