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FDA Clears Updated AI Software for Generating Inline Mapping with Cardiac MRI

Study Shows Viability of Enhanced 3T MRI for Predicting Intracranial Aneurysm Instability
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In addition to facilitating centralized scanning for a variety of imaging, the TechLive system may help ease the strain of technologist shortages and broaden access to advanced imaging exams.

The multimodality remote scanning modality uOmniscan and the recently FDA-cleared 3T uMR Ultra MRI system were unveiled at the Association for Medical Imaging Management (AHRA) conference in Las Vegas.

In the third of a three-part podcast episode, Emanuel Kanal, M.D. and Tobias Gilk, MRSO, MRSE, discuss strategies for maintaining the integrity of time-out procedures and communication with remote MRI scanning.

Catch up on the top AI-related news and research in radiology over the past month.

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

In the second of a multi-part podcast episode, Emanuel Kanal, M.D. and Tobias Gilk, MRSO, MRSE, share their perspectives on remote MRI safety protocols for ensuring screening accuracy and adherence to conditional implant guidelines as well as a rapid and effective response to adverse events.

Beyond the hype, whole-body MRI offers limited clinical benefit in the general population with extraneous use potentially triggering a cycle of overdiagnosis, unnecessary treatment and financial strain.

Study Reveals Significant Prevalence of Abnormal PET/MRI and Dual-Energy CT Findings with Long Covid
In a prospective study involving nearly 100 patients with Long Covid, 57 percent of patients had PET/MRI abnormalities and 90 percent of the cohort had abnormalities on dual-energy CT scans.

In the first of a multi-part podcast episode, Emanuel Kanal, MD and Tobias Gilk share their insights and perspectives on remote MRI safety.

Noting a 7.4 percent incidence of motion artifacts on brain MRI scans for suspected stroke patients, the authors of a new study found that motion artifacts can reduce radiologist and AI accuracy for detecting hemorrhagic lesions.

The updated capabilities of SwiftMR include personalized scan settings within the software, artifact reduction and cloud integration.

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

The deep learning reconstruction software reportedly facilitates accelerated MRI scanning and significantly enhanced image sharpness.

For people with dilated cardiomyopathy and those with initially normal cardiac MRI, each 1 ug/m3 increase in one-year exposure to ambient fine particulate matter with 2.5-um > aerodynamic diameter was associated with significantly more diffuse myocardial fibrosis, according to a recent study.

Offering a cost- and resource-saving DryCool magnet technology, the Magnetom Flow.Ace MRI system reportedly requires 0.7 liters of liquid helium for cooling over the lifetime of the device in contrast to over 1,000 liters commonly utilized with conventional MRI platforms.

The combination of high-performance gradient technology and AI tools with the Signa Sprint MRI reportedly facilitate enhanced MRI workflow efficiencies in cardiac and oncology imaging.

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

The updated software reportedly enables a threefold improvement in MRI scan time and enhanced image sharpness.

Adolescents with post-COVID-19 conditions had 37 percent lower quantified lung perfusion than healthy control participants on phase-resolved functional lung MRI, according to findings from a recent prospective study.

Catch up on the top AI-related news and research in radiology over the past month.

The open-source, deep learning MRI segmentation tool reportedly offers over a 10 percent higher Dice score than similar segmentation models for 40 anatomical structures.

Enabling up to 80 percent faster MRI scan times, the SubtleHD software is included in the newly launched AI software suite Subtle-Elite.

Emphasizing the role of radiologists in facilitating timely diagnosis of Marfan syndrome, Alan Braverman, M.D. discussed the use of echocardiography, CT, and MRI in evaluating patients with this genetic aortic condition.

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

For patients with newly diagnosed obstructive coronary artery disease (CAD), a multimodal machine learning model offered an 86 percent AUC for predicting MACE, which was 10 percent higher than CCTA alone and over 35 percent higher than the Framingham Risk Score.
















