A Chinese research team used CT radiomics and machine learning to distinguish harmless ground-glass lung nodules from ...

One reason is that too few clinicians raise the issue with their patients. New research published in the American Journal of Surgery indicates that only about 1 in 6 patients eligible for lung cancer ...

A new 3D convolutional neural network called COV-DSNet stages COVID-19 patients as progressing or remitting from chest CT ...

Earlier this summer, an international team led by biomedical informatics researchers at Harvard Medical School released the first public dataset that connects descriptive radiological information, ...

Cleerly, a leader in advanced cardiovascular imaging analysis, and Clear Heart and Lung Imaging, a leader in outpatient ...

Researchers at The University of Texas MD Anderson Cancer Center have developed an artificial intelligence model that can ...

Low-dose computed tomography (CT) screening can cut the risk of dying from lung cancer by 16% in high-risk people, while also ...

Lung cancer screening with risk-adapted LDCT maintained early-stage detection over nearly 10 years in BioMILD, while negative ...

More than 500 people in Sussex and Surrey have been diagnosed with lung cancer through an NHS screening programme. The NHS Lung Cancer Screening Programme, which began rolling out across the region ...

Riverain Technologies is expanding access to its FDA-cleared ClearRead Chest cardiothoracic imaging AI suite through ...

Computer-based analyses of CT scans may help predict disease progression and track treatment response among people with PPF, per trial data.

Epidemiologist Martin Tammemägi was recently honoured by the International Association for the Study of Lung Cancer for his ...