A UC quality improvement campaign cut over 3,500 unnecessary CT scans, saving patients $6.2 million and 14,000 hours of wait ...

| The difference between pixel size and image magnificationWhen creating CT images, we often set the FOV without much thought ...

Let's organize the relationship between sharpness and noise.Even with the same patient and the same scan data, images for the ...

A blood test measuring a protein released after head injuries could help doctors spot damage that a routine CT scan misses. New research suggests the marker may identify patients who need closer ...

New findings suggest that a blood test can detect circulating tumor DNA (ctDNA), potentially identifying signs of lung cancer ...

One of the deadliest cancers may leave a quiet signal in imaging many of us already have on file.

People who develop pancreatic cancer experience measurable changes in body composition years before diagnosis that differ ...

When analyzed by a new artificial intelligence model developed at Penn Medicine, CT scans reveal much about a patient's ...

Conventional PET/CT scanners image the body in sections, typically requiring five to six position changes to acquire images ...

Researchers show that routine chest CT scans, combined with machine learning analysis of body composition and clinical data, ...

A multicenter Chinese study shows that a machine-learning radiomics model built from routine non-contrast CT scans, combined ...

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, ...