Imaging Informatics

Second-opinion imaging readings can directly affect the clinical management of patients with Hepatopancreaticobiliary (HPB) disease, reported authors of a Sept. 24 study in the American Journal of Roentgenology.

PACS has become one of the most important digital advancements in radiology, according to a Sept. 17 Journal of Digital Imaging study—but it is not without flaws.

Researchers have created a deep-learning model that can generate synthetic brain MRIs to help train neural networks, according to research published in ArXiv. The technique may provide reliable, shareable training data.

Picture archiving and communication systems (PACS) have become central to modern medicine, but these systems often lack the functionality radiology departments desire.

Cerner announced Monday, Sept. 10, that its president, Zane Burke, will be leaving the company.

With the Radiological Society of North America (RSNA)'s 2018 annual conference fast-approaching, Steve Holloway, with U.K.-based healthcare technology consultancy Signify Research, identified four trends expected to emerge at the 104th meeting on Nov. 25 to 30 in Chicago.

Providers at Marshfield Clinic Health System (MCHS) in Marshfield, Wisconsin, utilized existing DICOM infrastructure to build software that improved its non-radiology imaging quality, access and costs, according to a study published Sept. 4 in the Journal of Digital Imaging.

Quantifying liver surface nodularity (LSN) from CT scans can accurately and quickly identify clinically significant portal hypertension in cirrhosis patients, according to a Radiology study.

Researchers have created an artificial intelligence (AI) algorithm capable of reading CT scans to predict how patients will respond to a specific immunotherapy, according to a Lancet Oncology study.

Dicom Systems has recently de-identified 5.3 million radiology exams and other medical imaging data for the Hospital for Special Surgery in New York. The effort demonstrates Dicom’s support towards artificial intelligence (AI) research and innovation in healthcare, according to a recent Dicom release.

Rad Women—a networking group for women in radiology and imaging informatics also known as RADxx or #radxx—is now accepting nominations for its second annual awards program. The initiative began last year as a way of honoring women in the field, along with men and women who have supported career advancement of women in medical imaging informatics.

A hybrid technique combining natural language processing (NLP) and IBM Watson can accurately label free-text pathology reports, according to a new Journal of Digital Imaging study. The method may improve the quality and quantity of large-scale datasets for deep learning.