
Emerging research suggests a robust association between pregnancy outcomes and placental measurements assessed via blood oxygen-level dependent magnetic resonance imaging (BOLD-MRI).

Emerging research suggests a robust association between pregnancy outcomes and placental measurements assessed via blood oxygen-level dependent magnetic resonance imaging (BOLD-MRI).

Canon Medical Systems offer a range of in-person and virtual educational opportunities for their clients.

Catch up on the top radiology content of the past week.

The Maestro Brain Model reportedly provides automated identification, quantification and labeling of brain structures on magnetic resonance imaging (MRI).

The ProstatID, an adjunctive artificial intelligence software that radiologists can utilize with traditional magnetic resonance imaging (MRI), reportedly measures prostate gland volume, and suggests PI-RADS scoring of suspicious lesions.

Catch up on the top radiology content of the past week.

What is the diagnosis?

Researchers discuss key parameters for the assessment, implementation and post-implementation monitoring of emerging artificial intelligence (AI) tools in radiology practices large and small.

Viz.ai said the Viz Subdural Hematoma (SDH) artificial intelligence (AI) algorithm provides automatic detection of acute and chronic subdural hemorrhages, facilitating timely triage and treatment of patients.

Has an overly critical approach from quality assurance committees led to an overly cautious approach in reports from teleradiologists?

The imaging agent is approved for use in 50 countries in Europe and Asia, but is not currently approved in the US.

Catch up on the top radiology content of the past week.

A recently published prospective study comparing multiparametric magnetic resonance imaging (MRI) and micro-ultrasound found similar detection rates for prostate cancer.

In a video interview, Morris Panner, the president of Intelerad Medical Systems, discussed key observations from the recent Society for Imaging Informatics in Medicine (SIIM) conference, recent research about artificial intelligence (AI) adoption and emerging goals for enhancing the efficiency of radiology workflows.

Utilizing susceptibility-weighted magnetic resonance imaging (MRI) in a study involving over 20,700 people, researchers found that drinking more than seven units (56 grams) of alcohol a week led to a higher accumulation of brain iron, which can trigger cognitive decline.

Catch up on the top radiology content of the past week.

In an award-winning presentation at the European Congress of Radiology (ECR), researchers from the Hospital Universitario Basurto in Spain reviewed key neuroimaging findings on magnetic resonance imaging (MRI) for a variety of inflammatory lesions of the brain stem.

In a video interview, Jonathan Dillman, MD, MSc discussed a recently published statement from the American College of Radiology (ACR) that questioned the literature support for a March guidance from the Food and Drug Administration (FDA) about thyroid monitoring for children three years of age or younger within three weeks of exposure to iodinated contrast media (ICM).

The artificial intelligence (AI) capabilities of the new software reportedly facilitate scanning times that are three times faster than conventional magnetic resonance image (MRI) scanners.

In their testing of eight commercially available filtering face piece (FFP3) respirators commonly utilized during the COVID-19 pandemic, researchers deemed that five of the face masks that contained ferromagnetic materials were unsafe to use in and around magnetic resonance imaging (MRI) devices.

Juggling a physician’s perspective and a layperson’s view can be a tricky juxtaposition at times.

Catch up on the top radiology news of the past week.

Magnetic resonance imaging (MRI) had better accuracy than prostate-specific membrane antigen (PSMA) positron emission tomography/computed tomography (PET/CT) “for detecting any grade of prostate cancer,” according to new study findings presented at the European Association of Urology Annual Congress (EAU22) in Amsterdam.

The new magnetic resonance imaging (MRI) device reportedly offers deep learning technologies and advanced processing of whole-body images in a cost-effective and lightweight model.

With an evenhanded perspective, this author looks at the challenges and frustrations for both sides of the IT help desk line in radiology.