Abstract: Existing pulmonary nodule detection methods often train models in a fully-supervised setting that requires strong labels (i.e., bounding box labels) as label information. However, manual ...

Researchers developed and validated a new lung cancer prediction model, Sybil-Epi, by integrating clinical and epidemiologic data with a pre-existing model.

Radiological reporting is a central component of clinical decision-making and a patient safety-critical system. Radiology ...

Two FDA-cleared technologies are now available to speed the detection of suspicious lung nodules and reduce the physical ...

UCLA scientists have developed a simple and cost-effective blood test that, in early studies, shows promise in detecting ...

As lung cancer screening identifies an estimated 1.6 million suspicious lung nodules each year in the U.S. alone, physicians ...

"Lung cancer survival depends heavily on early detection," said Fernandez-Bussy, dean of research and a pulmonary and ...

UCHealth Parkview Medical Center in Pueblo is using new robotic technology for more accurate lung nodule biopsies. Here's what to know.

Abstract: Early detection of lung cancer through CT imaging significantly improves patient survival rates. Precise segmentation of pulmonary nodules is essential for computer-aided diagnostic systems ...

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Radiologic surveillance of nonfunctional pituitary adenomas provided only minimal benefits for patients with multiple endocrine neoplasia type 1 (MEN1), researchers reported in The Journal of Clinical ...

The news: Medtech company 4DMedical has announced deployment of its flagship lung imaging technology CT:VQ at Mayo Clinic in the US. The context: Under the arrangement, Mayo Clinic will use CT:VQ for ...