The American College of Radiology (ACR) Data Science Institute (DSI) announced the release of its first series of freely available standardized artificial intelligence (AI) use cases to increase the utilization of AI adoption in medical imaging.

The technology projects 2D, 3D and 4D images of patients interactively by overlaying them onto the patient's body, according to a Novarad press release published Oct. 24.

A team of Japanese researchers found a deep learning-based algorithm used to analyze time-of-flight (TOF) MR angiography images improved cerebral aneurysm detection with an average sensitivity of 92 percent compared to initial radiology reports, according to research published Oct. 23 in Radiology.

The growth of artificial intelligence (AI) isn’t going unnoticed, and Duke University Hospital is the latest healthcare organization using it to help treat patients. The North Carolina-based hospital recently announced its launching a new AI-system that can identify sepsis cases, according to a report by IEEE Spectrum.

A newly-developed artificial intelligence (AI) system may be the answer for treating and preventing fatal outcomes for sepsis patients, according to a recent study.

Specialists can improve aneurysm detection rates by using a deep learning algorithm that provides a second assessment of images already interpreted by radiologists, according to new findings published in Radiology.

Two Egyptian mummies pinned unidentifiable by archaeologists have recently been given three-dimensional (3D) faces with the help of CT imaging and computer animation thanks to researchers at Johns Hopkins University in Baltimore, according to a report published Oct. 23 by The Baltimore Sun.

Engineers from MIT in Cambridge, Massachusetts have developed a non-invasive MRI sensor no bigger than a penny that can detect and measure electrical activity or optical signals in the brain, according to a recent MIT news release. The research was published online Oct. 22 in Nature Biomedical Engineering.