Researchers have developed an algorithm that identifies if follow-up imaging recommendations are adhered to or not, sharing their findings in the Journal of Digital Imaging.

Radiology reports derived from structured brain tumor MRI reporting and data systems (BT-RADS) showed measurable improvements compared to free text reports, according to a new study published in Academic Radiology.

A machine learning algorithm can determine appropriate follow-up imaging based off of radiology reports, according to a new study published in the Journal of Digital Imaging. The technology may eventually be developed to automatically tell if a patient completed their follow-up exam.

International medical imaging IT and cybersecurity company Sectra will install its enterprise imaging PACS and VNA throughout Vanderbilt Health in Nashville. 

Audiovisual radiology reports can provide significant value when used in addition to traditional reports, according to new findings published by the Journal of Digital Imaging.

The American College of Radiology (ACR) has shared more information about the 2019 Imaging Informatics Summit, noting that the event is focused on the direct impact AI technologies and data can have on patient care.

Patients would like to maintain some control over what data they share and who they share it with, however, according to results of a new study published in JAMA Network Open.

An audio/visual reporting tool integrated into an emergency department’s musculoskeletal workflow can improve communication between radiologists and referring providers while making imaging findings easier to comprehend.