Conferences

Not only is MRI-guided intravenous thrombolysis cost-effective, but the approach offers long-term clinical benefits for stroke patients with no known time of onset.

Healthcare institutions are encountering a growing number of gadolinium deposition disease cases. One expert recently discussed why radiologists should use current data to shed light on the topic and minimize their liability risk.

Hospitals and health systems taking the leap into enterprise imaging have some pressing questions to consider, including who controls the imaging data?

A significant portion of people who undergo a CT scan or x-ray after an electric scooter accident had injuries, according to a study presented at the 2019 RSNA annual meeting.

Many institutions are making radiology reports available via online portals, but can patients actually understand the information in them?

Bypassing the blood-brain barrier has long been a challenge for clinicians, but focused ultrasound can open specific pathways and help deliver targeted treatments to those suffering from the disease.

Hospital radiology departments hoping to survive and thrive in healthcare’s volume-to-value era must get creative—and even somewhat aggressive—about growing their outpatient business.

The technique combines AI with patient-specific health and cost information for a rough estimate on an individual's five-year healthcare expenditures.

The challenge tasked teams with developing an algorithm capable of identifying and classifying subtypes of hemorrhages on head CT scans.

Valerie P. Jackson, MD, president of RSNA, suggested that radiologists look within themselves, step out of the reading room and connect with others to move toward this “long desired goal."

While AI wasn’t the only topic discussed during the SIIM 2019 annual meeting, every issue seemed to be tied to the emerging technology in one way or another.

Data security has become a serious issue in the U.S., not only for big tech companies like Facebook, but for vendors and institutions looking to use patient imaging information to develop AI platforms.