Artificial intelligence is rapidly transforming health care. AI systems can now detect diabetic eye disease from retinal photos and analyze CT images for signs of early-stage lung cancers and stroke.

Mock-jury participants favored the plaintiff less often with AI-assisted double reads than with single reads, implying AI workflow design can meaningfully influence perceived radiologist culpability.

CT scans offer one way to learn more about the location, size, and shape of a brain aneurysm. A brain aneurysm is a weak or very thin spot on an artery in the brain that bulges out and fills with ...

The use of CT-based automation for traumatic brain injury may serve as a valuable tool for clinicians to predict disability outcomes in patients. Utilizing automated computed tomography (CT) scans to ...

A computed tomography (CT) head scan uses X-rays to develop a 3D image of the skull, brain, and other related areas of the head. A CT scan of the head can provide more detail than a traditional X-ray, ...

A research team has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease. Scientists used their tool, named Merlin, to assess 3D ...

Children and young adults who are exposed to a single CT scan of the head or neck before age 22 years are at significantly increased risk of developing a brain tumor, particularly glioma, after at ...

For physicians in Ethiopia, the partnership with UAB has significantly improved their turnaround time for CT reports, helping ...

Each year, the US performs more than 93 million computed tomography (CT) scans, many of which offer limited clinical value. For patients with mild head injuries, CT scans are often ordered reflexively ...