EDDA software takes aim at liver CT

In multiple mammography datasets with the original radiologist-detected abnormality removed, deep learning detection of breast cancer had an average area under the curve (AUC) of 87 percent and an accuracy rate of 83 percent, according to research presented at the recent Society for Imaging Informatics in Medicine (SIIM) conference.

Paul Chang, MD, explains how radiologists are using data analytics and business intelligence to improve efficiency and demonstrate their value in health care.

The new workload management system reportedly emphasizes predictive analytics to facilitate efficient workload distribution and increase reading capacity for radiologists.

A 3D whole brain convolutional neural network could provide enhanced sensitivity and specificity for diagnosing intracranial hemorrhages on computed tomography, according to new research presented at the Society for Imaging Informatics in Medicine (SIIM) conference in Kissimmee, Fla.

What you need to address for successful artificial intelligence adoption and enterprise imaging integration.

Wearing a mask does cause an increase in report errors with speech-recognition software, but the mistakes are small and unlikely to cause a negative impact.