When you are asked about your occupation, how do you respond?

The upgraded, artificial intelligence (AI)-enabled software for the Swoop® Portable MR Imaging System reportedly enhances the device’s signal-to-noise ratio for diffusion-weighted imaging (DWI) sequences.

In a recent video interview, Sonia Gupta, MD discussed a number of ongoing developments with artificial intelligence (AI) in radiology, ranging from market consolidation of AI vendors to maximizing automation and efficiency with patient triage, reporting and follow-up of incidental findings.

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

Approximately 43 percent of patients with COVID-19 and preexisting cancer presented with atypical or indeterminate findings on chest computed tomography (CT) scans.

In a new study that may have implications for breast cancer surgery, researchers found that shorter time to enhancement (TTE) on preoperative ultrafast magnetic resonance imaging (MRI) was significantly associated with escalation of ductal carcinoma in situ (DCIS) to invasive breast cancer.

The HERA W10 Elite ultrasound platform provides enhanced visualization features and artificial intelligence (AI)-aided measurement capabilities.

In a video interview at the recent Radiological Society of North America (RSNA) conference, Wayne Dell, M.D., discussed retrospective research that examined the use of hyperlinked multimedia radiology reports across modality and subspecialty five years after initial implementation of the technology at the University of Virginia.

In newly published research, researchers found that an artificial intelligence (AI) computer-aided detection (CAD) system was more than twice as likely as non-AI assessment to diagnose actionable lung nodules on chest X-rays.

Review the case study and test your knowledge to make the correct diagnosis.

Employing an artificial intelligence (AI)-powered scoring system, LVivo IQS reportedly provides real-time assessment of the quality of cardiac ultrasound images.

In a new study of 1,232 women diagnosed with breast cancer within a year of a screening mammography exam, researchers found that interval breast cancer was 17 percent more likely in women with dense or extremely dense breasts, and over three times more likely to involve stage 2 or higher primary tumors in comparison to screening-detected breast cancer.

Recognizing the dual challenges of fending off cyberattacks and meeting the increasing demand for faster access to medical imaging, these authors offer proactive insights to address potential cybersecurity issues in radiology departments and practices.

Does the allure of leadership lose its luster for more seasoned radiologists?

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

While acknowledging a moderate to high risk of bias in the retrospective studies reviewed for a recent meta-analysis, researchers found the current evidence supports the use of high-intensity magnetic resonance imaging (MRI) surveillance for detection of soft tissue sarcoma recurrence.

From enhanced image quality and workflow efficiencies to an improved patient experience and potential synergies wih enterprise cloud services, artificial intelligence continues to redefine possibilities in radiology.

In a study of over 9,000 children that examined structural magnetic resonance imaging (MRI) data as well as parent and child self-reporting of adversity-related measures, researchers found that greater exposure to adversities for Black children was linked to lower gray matter volume in the amygdala and multiple subregions of the prefrontal cortex in comparison to White children.

In what is reportedly the first Food and Drug Administration (FDA) 510(k) clearance for the use of artificial intelligence (AI) for musculoskeletal ultrasound, the model provides automated measurements of tendons in the knee, ankle, and foot.

In an external validation data set for a deep learning bone-suppressed (DLBS) model, researchers found that adjunctive use of the DLBS model led to a nearly 15 percent increase in sensitivity for detecting pulmonary nodules on chest X-rays in comparison to radiologist assessment.